futuremug | Report

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Candidate Details

Candidate Name ****** ****

Interview Verdict Strong Hire

Email **********@gmail.com

Phone No +1-**********

Interview Date 11-27-2023

Interview Time 6:00 PM

Position Data Scientist (NLP)

Overall Rating 4.36

Interviewer ADA

23% Behaviour Skill Set

77% Technical Skill Set Mandatory

Behaviour
Skill set

Communication

3.0

Industry Awareness

5.0

Engineering Mindset

5.0

Attitude

5.0

Team Work

5.0

Problem Solving

5.0

Analytical Skill

5.0

Technical Skill Set
Mandatory

C++

5.0

MongoDB

5.0

Machine Learning

5.0

NLP

5.0

MySQL

5.0

GCP

2.0

Bash

3.0

Pytorch

5.0

Keras

5.0

Pandas

5.0

Numpy

5.0

Tensorflow

5.0

BERT

5.0

Precision

5.0

Recall

5.0

WER

5.0

BLEU Score

3.0

ROUGE

3.0

METEOR

3.0

AUC-ROC

5.0

F1-Score

5.0

Coherence

5.0

Plotly

5.0

Matplotlib

5.0

The candidate is very good and has a strong foundation in the fundamentals of NLP. Although the candidate was unable to answer some of the theoretical questions and also needs improvement in basic communication I still feel that he will be a perfect fit for the role as per the JD given. There could be a learning curve associated with his hiring, but he will be able to pick it up soon and become an independent contributor to the team. I still feel that given his previous experience, he should be the right resource for this job.

Excellent

Good

Satisfactory

Needs Improvements

Unsatisfactory

Communication

Satisfactory

3.0

the candidate is a little slow in communication but this should not be a deal breaker

Industry Awareness

Excellent

5.0

the candidate has very good knowledge of the industry and the leading techniques used

Engineering Mindset

Excellent

5.0

the candidate has a very good mindset for tackling engineering problems

Attitude

Excellent

5.0

the candidate was able to demonstrate a good attitude during the interview process

Team Work

Excellent

5.0

the candidate has worked on multiple projects in teams before and has the relevant experience

Problem Solving

Excellent

5.0

during the coding round, the candidate was able to very quickly understand the given problem and solve it

Analytical Skill

Excellent

5.0

the candidate was able to showcase very good analytical thinking while discussing various NLP topics

Excellent

Good

Satisfactory

Needs Improvements

Unsatisfactory

Technical Skill Set Mandatory

C++

5.0

The candidate has multiple years on experience in C++

MongoDB

5.0

The candidate has previously worked with mongoDB in multiple projects

Machine Learning

5.0

The candidate has previously worked with ML techniques in multiple projects

NLP

5.0

The candidate's core strength is NLP as he has worked on many projects in the past.

MySQL

5.0

The candidate was able to convey that he as the relevant experience of working on MySql

GCP

2.0

The candidate has no prior experience working in GCP

BASH

3.0

The candidate has very limited experience working in bash

Pytorch

5.0

The candidate has worked on many projects that involved working on Pytorch

Keras

5.0

The candidate has worked on many projects that involved working on KERAS

Pandas

5.0

The candidate has worked on many projects that involved working on PANDAS

Numpy

5.0

The candidate has worked on many projects that involved working on NUMPY

Tensorflow

5.0

The candidate has worked on many projects that involved working on TENSORFLOW

BERT

5.0

The candidate has worked on many projects that involved working on BERT

Precision

5.0

The candidate is aware on how precision works in ML optimization techniques

Recall

5.0

The candidate is aware of how recall works in ML optimization techniques

WER

5.0

The candidate has previously worked on WER and has worked on many similar projects.

BLEU Score

3.0

The candidate has very limited experience in this field

ROUGE

3.0

The candidate has very limited experience in this field

METEOR

3.0

The candidate has very limited experience in this field

AUC-ROC

5.0

The candidate is aware of how AUC-ROC works in ML optimization techniques

F1-Score

5.0

The candidate is aware of how F1 score works in ML optimization techniques

Coherence

5.0

The candidate is aware of how the coherence technique works in ML optimization

Plotly

5.0

The candidate has worked on many projects that involved working on plotly

Matplotlib

5.0

The candidate has worked on many projects that involved working on matplotlib

Q-

Output script

hello, world a2b3c1 a3b3 Traceback (most recent call last): File "script.py", line 34, in import numpy as np ModuleNotFoundError: No module named 'numpy'

Question 1

How are Word2Vec embeddings different than GloVe embeddings?

Candidate Answer

Word2vec embeddings are based on training a shallow feedforward neural network while glove embeddings are learnt based on matrix factorization techniques

Question 2

What is the difference between having an auto-encoder or auto-regressive models?

Candidate Answer

The only difference is how the model is pre-trained. The same architecture can be used for both the models.

Question 3

What are the advantages of using BiLSTM over LSTMs?

Candidate Answer

In Bidirectional LSTM we can input the data in both the direction and hence it is more powerful than LSTM.

Question 4

Was IR used in knowledge graph, what algorithms were used?

Candidate Answer

A knowledge graph is a representation of entities (e.g., a person, a place) and the relationships between them. Knowledge graphs are used to derive semantic understanding from these connections.

Question 5

What prompting techniques were used in LLMs?

Candidate Answer

Prompts are the inputs or queries that a user or a program gives to an LLM AI, in order to get a specific response from the model. Prompts can be NLsentences or questions, code snippets/commands, combination of text or code, depending on the domain and the task.

Question 6

Naive Bayes implementation?

Candidate Answer

It is used in sentiment analysis

Question 7

What are counterfactual generative models?

Candidate Answer

Couldn't clearly tell about the model, ended up explaining conditional generative model

Question 8

Basic architecture of CNNs

Candidate Answer

It has three layers namely, convolutional, pooling, and a fully connected layer. CNN have grid like typology.

Question 9

What are the differences between RNNs, GRUs and LSTMs

Candidate Answer

the key difference between RNNs, LSTMs, and GRUs is the way that they handle memory and dependencies between time steps.rnRNNs remember information from previous inputs but will become very slow with long-term dependencies. LSTMs can store and deal with long-term dependencies using a special type of memory cell and gates. GRUs is simplified version of LSTMs and uses single update gate and is therefore easier to train and run.

Question 10

What are the differences between tokenizers from nltk and huggingface tokenizers?

Candidate Answer

Candidate has little information on the difference between them. He was able to explain how tokenisation works.

Question 11

GRU and LSTMs difference in architecture

Candidate Answer

[similar question]Already discussed above.

Question 12

GRU and LSTMs difference in architecture

Candidate Answer

[same question as above] Already discussed above.

Question 13

Transformers vs RNNs

Candidate Answer

Transformers also make use of attention mechanisms but RNN does not.

Question 14

What is self attention?

Candidate Answer

In a single sentence, how the words are related to each other. this is gathered by Self attention.

Question 15

Different ways to get word embeddings?

Candidate Answer

One-hot encoding, tf-idf, word2vec, fasttext

Question 16

Do vectors hold semantic meanings?

Candidate Answer

Candidate was able to answer YES. But could not go in detail when asked to take an example and explain.

Question 17

LLMs are said to have a lot of parameters, what does it mean?

Candidate Answer

the parameters are basically the variables present in the ML to be trained.

Question 18

What are various optimization algorithms to decide the learning rate?

Candidate Answer

adam optimisation, learning rate decay, gradient descent

Question 19

How is BERT different than GPT-3?

Candidate Answer

gpt-3 is an autoregressive model, while BERT is bidirectional

Screenshot 1

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Coordinator: Good afternoon sir. Hi, good afternoon. The candidate is confirmed, we will be joined soon.

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ADA: Sure, sure.

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Candidate: Hi Candidate.

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Coordinator: Hi ADA. Candidate, can you, could you please, I think your video is stuck.

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Candidate: Hello. Yes, yes, I can hear you.

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Coordinator: Yeah, I can hear you but your video is still stuck.

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Candidate: Let me just turn it off and turn it on.

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Coordinator: Yeah.

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Candidate: Okay, can you see my video?

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Coordinator: Yeah, now it's clear. Okay, Candidate, one thing, I'll be sharing one coding ID link in the chat box.

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Coordinator: Okay. Okay. Once a panel is about to do the coding, just open that link and share your screen.

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Coordinator: Okay, okay. And do the code in that ID only and also don't forget to run the code.

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Candidate: Okay.

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Coordinator: So you can start sir.

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ADA: Hi Candidate.

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Candidate: Hi ADA.

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ADA: Shall we start?

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Candidate: Yes, yes, yeah.

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ADA: Introduce yourself regarding your project, Technical skills, role and responsibility.

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Candidate: Yeah. So I have a total nine years of experience and most of it is in front -end development.

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Candidate: I've worked on ReactJS, JavaScript, RetchMate 5, CSS, Material UI, Angular.

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Candidate: Besides that, I also have a certificate in AWS Associate Developer.

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Candidate: I have some experience in backend and from last two years I've been leading a team of four to five members Where my task is finalizing the requirements, gathering the

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Candidate: requirements, then making into tasks, distributing it in the team and then doing code reviews and I kind of act like a complete project owner for the project.

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Candidate: So if I say I'm like very good in Then I'm making pixel -perfect -responsive UI as well as I've done a lot of work in the performance optimizations of

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Candidate: web applications.

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ADA: What were technical skills? What were technical skills?

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Candidate: React and JavaScript. Primary skills.

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ADA: Okay. And how long are you working on React?

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Candidate: Four years.

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ADA: Currently, what versions of React are you using?

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Candidate: 18 versions.

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ADA: Are you working on the functional component, right?

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Candidate: Yes, yes, yes.

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ADA: Okay. What is the difference between single -page application and multi -page application?

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Candidate: So in multi -page application, whenever you so if suppose there are a lot of Then you have to again do a network call and get the complete page.

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Candidate: to remove this thing, they have come up with single -page applications where complete application will be loaded in the one short only.

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ADA: Can you give me the real -time example day -to -day if you browse the website for single -page and multi -page applications?

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Candidate: Well, now all the websites are mostly single -page applications only.

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Candidate: Like whatever angular websites are there, whatever we have in React, so they are all single -page applications only.

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ADA: But what are the virtual DOM and real DOM, how does it work?

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Candidate: So what happens in React? We have a virtual DOM.

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Candidate: whenever we try to update the real DOM it is very much costly to update the real DOM.

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Candidate: So what React does? It creates a copy of the real DOM as a virtual DOM and it keeps on versioning it.

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Candidate: And whenever it has to apply, so it diffs And then as a chunk it applies the changes.

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Candidate: Sorry. So this is actually a concept used in virtual DOM in React to improve the overall application performance.

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Candidate: So it's a lightweight copy of the real DOM which is made in JavaScript.

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ADA: Can I brief about React lifecycle hooks?

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Candidate: So in a class component we have two types of way we can make components.

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Candidate: One is class component. One is functional component. In class component what we have component did mount we have which gets mount as soon as the component is firstly started.

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Candidate: Then we have component did update which runs Every time there is some update in the component and then we have component did unmount will unmount.

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Candidate: So whenever component is removed from the DOM this lifecycle is run then we have should component update which actually helps you decide whether you need to update the component

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Candidate: or not. So you can also do this using pure component Putting pure component extending the component as a pure component and we have get derived state from props so

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Candidate: these are the things.

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ADA: What is the difference between functional component and class component?

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Candidate: So functional component is actually initially started as a representational component Where you don't have any it's like a dummy component or a representational component then they have introduced hooks

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Candidate: in the functional component. What happens like actually class component is a little heavy with all the lifecycle methods and all so to make it light so So and it

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Candidate: is also difficult to understand the lifecycle roots by a normal developer so a lightweight functional component is actually very lightweight and also here to use the lifecycle methods they

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Candidate: have introduced hooks in that.

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ADA: Have created any pure component in your project? What kind of pure component have created so far your application?

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Candidate: So pure component is used pure component is actually a component where you don't want to re -render the child component on every render of the parent component to improve

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Candidate: the performance so in functional component there is a similar React .memo which is used in place of your component so many times if we see we are the child

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Candidate: component getting re -rendered again and again due to some props which is passed to it so to To improve that performance thing we just used pure component or React

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Candidate: .memo

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ADA: How to make a synchronous API service call?

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Candidate: So we use this for in React we can use Xeos and there we can use either promises or Async await to make the async call What is the difference

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Candidate: between promises and observables? So promises actually so observable is actually like it works on a stream of data where you want a particular functionality so it keeps the so

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Candidate: if you have a stream So if you have a stream of data which is coming and you want to do some computation on that then observable is used which

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Candidate: is generally used in Angular projects while so promises is like for one time like single input single output async calls

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ADA: What is the best way to share the data across the application?

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Candidate: So using state management libraries so in React we have redux saga, redux thunk, then zoo stand so so you can actually manage a centralized state and then you can

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Candidate: use dispatch and use selector to patch the data and share it between the components.

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ADA: So how is the redux? Yes how does the redux work?

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Candidate: so so it has a centralized store then it has concept of reducers and actions so whenever you dispatch an action you perform the action and then it goes to

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Candidate: the reducer and then with the reducer it actually updates the state similarly it has used selector where you can actually select the state which you want to use in

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Candidate: a particular component

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ADA: what are the controlled and uncontrolled component?

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Candidate: so controlled component is something where we are giving it some props and it will show that props while in uncontrolled component it can make some changes outside of the

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Candidate: component have you written unit test cases in your project?

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Candidate: yes take

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ADA: an example of the login model brief on how to read the unit test cases and how to mock the data

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Candidate: so suppose the login component is written we first render the component and first test will be like to check whether whether you are able to see the fields, input

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Candidate: login username and password and submit then second text will be whether you are able to type anything and click on the submit button to call the API call and

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Candidate: this is a successful scenario then one test case will be like to mock the unsuccessful cases of the API call so likewise there can be like 4 -5 test

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Candidate: cases to mock the login

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ADA: component what is the difference between dependency and dev dependency in package .json file?

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Candidate: yeah so dev dependencies won't be installed when we build the project while which is only used for the local development while dependencies will be will be installed in the

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Candidate: local as well as in the while building the complete project for production what are the advantages of ES6?

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Candidate: so ES6 is introduced after ES5 so it is at my script 2015 I guess so here they have introduced class components so previously only functional components are there then

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Candidate: here they have like Java they have introduced class components and promises then async of it so a lot of new features are and latent const so a lot of

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Candidate: new features are actually added in the ES6 in the JavaScript to compete with actually the Java to bring some of the functionalities of Java what

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ADA: is the use of Babel?

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Candidate: so Babel is actually used to convert a TypeScript or ES6 JavaScript to ES5 JavaScript which is understandable via the browser so you can write you can write code in

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Candidate: TypeScript or ES6 or any ES version like ES10, ES12 but using Babel you can convert it to browser understandable JavaScript version and then so the browser can understand it

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ADA: what about WebPack?

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Candidate: so WebPack is a compiler an interpreter so it is used for bundling of the complete WebApplication so it actually bundles all the JavaScript files HTML files and CSS and

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Candidate: keep it so you can use different plugins to help bundling and you can also define a way like if you want to remove some of the code which is

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Candidate: not used so all those things you can do it is used for bundling the complete application

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ADA: so difference between map forage and filter

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Candidate: so map is used for like if you have an array then you can use map and you have to perform some operation to all the elements of the array

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Candidate: so but map actually returns some value while forage does the same thing but it does not return and anything apply the operation to the same input while filter actually

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Candidate: used to filter a particular array using some condition so if you want to remove some remove some of the data from the array then you can do that those

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Candidate: filters what

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ADA: is the pressure function in JavaScript?

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Candidate: so closer is a memory where actually you can store some variables so that it can be referenced later so it's not a normal heap memory it's a different kind

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Candidate: of memory where you wrap a function inside a function and and you can use that use the some values of that parent function so that it can be referenced

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Candidate: later while we call the inner function what

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ADA: do you mean by event bubbling and event capturing?

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Candidate: so event bubbling is so suppose we have a parent div and then inside we have other so event bubbling is actually a way where event propagation happens from the

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Candidate: inner most component to the outer most component while capturing is event propagation where event goes to the parent component and then it goes to the child component so different

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Candidate: browser has their own way of capturing the events

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ADA: what is the use of javascript prototype?

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Candidate: so javascript has parent class as object so prototype is actually the inheritance used by java script so in java we have normal inheritance while javascript we have prototypical inheritance

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Candidate: so if you want to inherit something from the parent class you actually define those methods in the prototype of the parent so if you created a child class from

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Candidate: parent class then you have access to all the prototypical methods or variables of the parent class

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ADA: what do you mean by variable hosting and method hosting?

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Candidate: so so no matter where you define a variable it will get hosted and it will be declared above and you can use it so where is hosted and initialized

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Candidate: with undefined while lat and const are twisted but they are not initialized so and the time when they get initialized so that difference is called temporal dead zone so

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Candidate: similarly methods are also hoisted like variables

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ADA: explain the javascript debouncing and throttling

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Candidate: so debouncing is a concept used in generally search bars where there is some wait time so whenever you do a So search call on google google search you don't

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Candidate: want to make api calls on every character so to improve the performance in this case we use debouncing where whenever you make the first api call after that you

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Candidate: wait for like whenever you type the last character if there is So there is a difference in typing the next character of like suppose X seconds then only make

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Candidate: the api call so suppose if you have quickly type Candidate and then you are you wait for some like one second which is the wait time then only it

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Candidate: will make and you type another character like Mehta then it will make the api call otherwise if you type continuously keep on typing so you can make the api

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Candidate: call while throttling is is happens where you actually after the first api call you make the second api call after X seconds so in between there can be many

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Candidate: characters you can type but it will wait for X seconds before making another api call

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ADA: okay what is of course cross -origin resource sharing co .rs course

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Candidate: issue yeah so what happens in cloud systems we have like course so so if suppose we have set up a EC2 instance or any service of AWS we are

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Candidate: using and it has some backend server running which is exposed to the outside world so you won't be able to access this until unless it gives you access to

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Candidate: the course course policy so you need to give access to a particular domain or particular IP addresses so that it can be accessed so generally in the front end

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Candidate: while accessing a particular backend in APIs we get course issue because we haven't got access to access that resource how

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ADA: to secure the API for unauthorized access for

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Candidate: unauthorized access

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ADA: so

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Candidate: you can use HTTPS with the HTTPS instead of normal HTTPS this is one thing then this is like majorly biggest thing then there are some things related to the

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Candidate: database and how you are writing the APIs and all so lot of things are there like

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ADA: this okay list on the what are the latest what are the best features you have used from html5

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Candidate: so picture tag I have used to show the images then we have this header tag and footer tag which was introduced then local stories and session stories I guess

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Candidate: those are also introduced in html5

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ADA: what is the use of dog type so

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Candidate: it actually used to tell which version of html you are using

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ADA: is it mandatory or optional

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Candidate: I think it is mandatory okay

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ADA: what is the difference between block element and inline element so

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Candidate: inline inline element which is like so PE tag is an inline sorry span tag is an inline element so if you put multiple span tags it will come in

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Candidate: the same line while div and PE tag they are like block type elements so if you keep two div tags they will come in new lines okay

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ADA: difference between cookies, local storage and session storage

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Candidate: so cookies are actually they have they are actually sent in all the API request to the server and they have like size of 4kb while session storage and local

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Candidate: storage so local storage has 10mb of size and session is as 5mb and and local storage and session storage they are not sent with the API calls so yeah

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Candidate: then local storage and session storage what is there so so they have okay

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ADA: no

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Candidate: actually I know once again I am just forgetting so mostly the difference is cookies are sent with the API calls and so local storage is actually the storage where

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Candidate: your data persists till the time you clear the complete cache of the browser while session storage like your data is there only till the time session is there or

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Candidate: you close the browser or the tab while cookies cookies are only there for a particular so as soon as you whenever you open it will it has some expiry

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Candidate: you can set the expiry it depends on the domain like which domain you are using it

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ADA: what is the pseudo classes in CSS?

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Candidate: pseudo classes

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ADA: no

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Candidate: I am not aware pseudo classes okay yes I know so there are there are pseudo classes and pseudo elements pseudo classes are active then then we have like colon

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Candidate: focus colon inactive colon focus visible so all those are like pseudo classes and also we have like before and after which are pseudo elements

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ADA: so how to develop a responsive web

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Candidate: design? use we can use media queries and for different screen sizes you can give different CSS classes what is the difference between bootstrap and media query?

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Candidate: bootstrap is a different library for which you can use which you can use in projects like material UI so either you can use bootstrap or media queries depends what

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Candidate: kind of application you are building so they are all used for good responsive websites so bootstrap gives provide some of the classes which you can directly use in your

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Candidate: components to make it responsive for

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ADA: backend which technology have work?

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Candidate: so I don't have very much experience in backend but long back I worked on Node .js and currently I am working on Python a little bit so mostly my

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Candidate: experience is in front end okay,

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ADA: okay, fine what about like a Sigma, Figma2, do you have any experience on that?

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Candidate: yeah we were regularly using Figma or mostly Figma we are using for the designs and converting it into the actual web UI okay, fine Candidate share your screen and

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Candidate: open that link okay, where is the link? can you see my screen?

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ADA: yes, visible, visible just a minute yeah, the coordinator have sent that link where?

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Coordinator: chart box, open the chart box make the screen size wider Candidate can you see a three line mark in the corner corner of the screen click on that and

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Coordinator: make it full screen okay now you can see right?

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Candidate: yeah, yeah

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Coordinator: that top,

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Candidate: that

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Coordinator: link yeah,

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Candidate: okay

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ADA: yeah, Candidate just a minute hold on Candidate, I share the problem in the chart window okay there is a question okay, read the question analyze the technology in JavaScript

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ADA: and don't use the built -in methods okay

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Candidate: this repeated character in this thing I have to find the repeated

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ADA: character yes,

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Candidate: yes so so suppose if there are no repeated character then what should I return?

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ADA: you can write not font like that message if the repeated character are there what are the repeated characters are there you

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Candidate: can display that okay in an array I need to display all the repeated characters or I can convert it into string

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ADA: and then display what you want you can consider string or array or object what you want you can use it

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Candidate: so hello hello hello hello ADA Candidate can you see my screen so

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ADA: yes visible just a minute okay

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Candidate: fine

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ADA: okay fine stop this commissary

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Candidate: okay

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ADA: how to improve application performance sorry how to improve application performance

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Candidate: yeah so so all the static files we can use CDN then in the React we can either use in the script tags, async or differ then then use we

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Candidate: can also use hooks like if there is a lot of computation which is involved and we can use use memo or use callback hooks in the application then we

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Candidate: can also use we can also use pure component or react .memo whenever there is a parent component rendering to stop the re -rendering of the child component then there

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Candidate: are some techniques like fetch priority priority hints then preload prefetch these kind of techniques are there which we can use then we can then there comes next thing is

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Candidate: image optimization where we can use content visibility as auto so what it does like it doesn't whenever you are loading lot of images it doesn't render those images which

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Candidate: are outside then we can also write the viewport of this screen so this thing we can use then we can use picture tag with source set and sizes property

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Candidate: so that you are not actually using a desktop size image for a mobile device then secondly image compression we can use where we use very lightweight images version of

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Candidate: the images so generally people use PNG or JPEG images while we can also use AVIF or WebP image formats for this then we have we can also use for

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Candidate: if the post there is a lot of list of data coming so there you can use virtualization then concept to render big list of data next thing we can

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Candidate: use is React profiler to see which component is taking a lot of time then we can use Lighthouse reports to identify what core parameters are taking longer like first

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Candidate: input delay or first input delay then is first input delay then largest contentful then cumulative layout shift so if I talk about all these three cumulative layout shift is

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Candidate: actually happens when you don't give like some height and width to a particular component so if you give it there will be very less layout shift and you will

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Candidate: achieve a better performance then largest contentful then the actual paint is actually happens when you have a lot of the time taken by the largest component or largest image

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Candidate: or video on a particular web page so this we can improve by using by pre -loading that particular resource using the link tag with fetch priority as high and

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Candidate: secondly reduce the size that particular resource so like this we can improve the largest contentful paint then first input delays actually happens when a particular when CPU is busy

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Candidate: in doing some task rather than doing the important task so that is first input delay where you are actually stopping the CPU to to do only the specific task

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Candidate: so there are some ways by which we can do that

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ADA: what are the key features of python? what are the features?

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ADA: features of the python I

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Candidate: really am not I have written the APIs I can write the APIs but I am not very good in that is the main theory of python

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ADA: so

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Candidate: I can understand the code and write the APIs understand the architecture and all but the theory part I am not good why

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ADA: the Figma is better than the other designing tools?

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Candidate: so I like so I have been mostly using this Figma only so here I think it is very easier to make the designs in Figma and it is also

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Candidate: purchased by Adobe the Figma company they also have their own designing tool so it can very easily give you all the CSS properties whenever you click an element

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ADA: ok fine what is the use of prototyping in the Figma?

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ADA: prototyping?

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Candidate: I don't know because I am not a designer I

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ADA: am not a designer fine Candidate ok it is ok fine I am done from my side I will update the feedback further our HR team will

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Candidate: get back to you ok ok sure

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ADA: ok thanks for attending bye thank

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Candidate: you

Overall Summary

The meeting started with Candidate introducing himself as a front-end developer with expertise in React and JavaScript. He highlighted his experience in backend development and team leadership. The discussion focused on technical skills, React, lifecycle hooks, state management with Redux, and ES6. Candidate also provided insights on API service calls, unit testing, and security practices. The meeting ended with action items assigned to Candidate for further discussion and assessment.

Additional Data Points

Coordinator
ADA
Candidate
Introduction
Technical Skills
React
Lifecycle Hooks
Functional Component vs Class Component
Pure Component
API Service Call
State Management with Redux
ES6
Babel
Webpack
Map, ForEach, and Filter
Closure
Event Bubbling and Event Capturing
Javascript Prototype
Variable Hoisting and Method Hoisting
Debouncing and Throttling
Cross-Origin Resource Sharing (CORS)
API Security
HTML5 Features
Securing the API for unauthorized access
Latest features used from HTML5
Difference between block element and inline element
Difference between cookies, local storage, and session storage
Pseudo classes in CSS
How to develop a responsive web design
Backend technologies used
Experience with graphic design tools
Problem-solving exercise
Improving application performance
Key features of Python
Advantages of Figma as a designing tool
Prototyping in Figma
Candidate introduced himself as a front-end developer with 9 years of experience
Candidate has expertise in React, JavaScript, CSS, Material UI, and Angular
Candidate also has a certificate in AWS Associate Developer
Candidate has experience in backend development and team leadership
Candidate highlighted his strengths in pixel-perfect responsive UI and performance optimization
Discussion on React versions used and working with functional components
Difference between single-page and multi-page applications
Explanation of virtual DOM and real DOM in React
Overview of React lifecycle hooks in class components
Comparison between functional components and class components
Utilization of pure components for performance optimization
Methods for making synchronous API service calls using Axios and async/await
Overview of state management libraries like Redux Saga, Redux Thunk, and Zustand
Explanation of Redux and how it works with reducers and actions
Difference between controlled and uncontrolled components
Discussion on writing unit test cases for login component
Dependency management in package.json: dev dependencies vs dependencies
Advantages of ES6 in JavaScript
Explanation of Babel and its purpose to convert ES6 code to browser-understandable version
Webpack's role in bundling JavaScript, HTML, and CSS files
Difference between map, forEach, and filter array methods
Usage of closure in JavaScript for storing variables
Explanation of event bubbling and event capturing
Utilization of JavaScript prototypes for object inheritance
Difference between variable hoisting and method hoisting
Explanation of debouncing and throttling in JavaScript for optimizing event-based operations
Overview of Cross-Origin Resource Sharing (CORS) and its use in API access control
Methods to secure APIs from unauthorized access
Discussion on the latest features of HTML5, including picture, header, and footer tags
To secure the API for unauthorized access, HTTPS can be used instead of normal HTTP
The latest features used from HTML5 include the picture tag, header tag, footer tag, and local storage and session storage
The doctype is used to determine the version of HTML being used and is mandatory
Block elements and inline elements behave differently in terms of line breaks and positioning
Cookies are sent with API calls, while local storage and session storage are not
Pseudo classes in CSS include active, focus, and visible
Responsive web design can be achieved using media queries and different CSS classes for different screen sizes
Backend technologies mentioned include Node.js and Python
Figma is the preferred graphic design tool, known for its ease of use and CSS property generation
A problem-solving exercise was conducted on finding repeated characters in a string
Various techniques were discussed to improve application performance, including CDN usage, hooks, image optimization, and preloading resources
Key features of Python were not discussed in detail
Advantages of Figma include ease of design, CSS property generation, and its acquisition by Adobe
The use of prototyping in Figma was not discussed in detail
Candidate to share the coding ID link in the chat box for coding assessment
ADA to assess Candidate's technical skills and project experience
Candidate to provide more details about unit test cases and API security practices
Coordinator to follow up with Candidate regarding the next steps
Investigate HTTPS for securing the API
Explore the latest features in HTML5
Research the differences between block and inline elements
Read more about cookies, local storage, and session storage
Learn about pseudo classes in CSS
Study media queries for responsive web design
Further explore backend technologies such as Node.js and Python
Improve knowledge and experience with graphic design tools
Practice problem-solving exercises
Implement techniques to improve application performance
Gain more understanding of key features in Python
Continue using Figma for graphic design projects
Learn more about prototyping in Figma