Transcript for transcript_1X5NMrRNc_a_oWTJ8bXW4_A4FPC6AXHSR_1_2712_fa4bfa019689_3.txt

transcript_1X5NMrRNc_a_oWTJ8bXW4_A4FPC6AXHSR_1_2712_fa4bfa019689_3.txt

[00:00:01]  Hello.
[00:00:04]  Is there an audio button?
[00:00:37]  Hello, am I audible?
[00:00:41]  Yes, with your order.
[00:00:43]  Okay, okay.
[00:00:46]  So, sorry to make you wait.
[00:00:49]  Just let me.
[00:01:44]  Hello Pratham.
[00:01:46]  Yes, sir.
[00:01:49]  So you are the candidate, right?
[00:01:50]  Yeah.
[00:01:52]  Okay, so we will be starting.
[00:01:54]  Just wait for a few minutes.
[00:01:55]  I'll take a look at the resume and then we'll start, okay?
[00:01:59]  Yeah, sure.
[00:02:01]  No worries.
[00:02:40]  Okay, so Pratham, I think there have been some miscommunication.
[00:02:44]  I have not received your resume.
[00:02:45]  So can you do one thing?
[00:02:46]  Can you send me your resume?
[00:02:48]  Yes, sure.
[00:02:49]  Over Gmail.
[00:02:50]  I'll send you the Gmail.
[00:02:52]  You just send it there.
[00:02:53]  Yeah, sure.
[00:02:56]  I'm dropping the Gmail here.
[00:02:57]  Okay.
[00:02:58]  Yes.
[00:03:22]  Yeah, see, I posted in the chat.
[00:03:24]  Yes, it's available.
[00:03:28]  You just send it.
[00:03:31]  Yeah.
[00:03:31]  There is you.
[00:03:42]  Uday, I just sent it to you.
[00:03:45]  Oh, okay.
[00:03:46]  I'll then leave it.
[00:03:47]  Once checked.
[00:05:19]  Okay, so I have taken a look.
[00:05:22]  So, Pratham, hi.
[00:05:24]  Am I pronouncing the name correct?
[00:05:26]  Pratham?
[00:05:26]  Is it right?
[00:05:27]  Yeah, it's right.
[00:05:27]  Yeah.
[00:05:29]  Okay, Pratham.
[00:05:29]  So, hi.
[00:05:30]  Myself, Uday.
[00:05:31]  So, I work here in Kachkarma as a lead front-end engineer and also I look over the most of the projects so far.
[00:05:39]  Okay.
[00:05:40]  As a full stack and overall.
[00:05:42]  So now coming to you, can you give me a brief introduction?
[00:05:47]  Yes, myself Pratham Akhiyar, a person having positive attitude, optimistic, quick learner and always ready to learn something new.
[00:05:55]  Recently, I just completed my internship at Target Corporation as a software developer.
[00:06:00]  In that I was working as a backend developer and then mostly I working on the technologies such as Java, Python and React.js and in the backend I was usually such as the Spring Boot and microservices.
[00:06:12]  I just recently passed out from 2025 batch in the department of computer science from SHGMC.
[00:06:18]  As far as my aims concern, I want to be a successful software developer, a part of a good learning.
[00:06:24]  That's all.
[00:06:25]  Okay, okay.
[00:06:28]  Nice.
[00:06:29]  So looking at the, where's the column?
[00:06:41]  So you mentioned you have already been in an internship, right?
[00:06:45]  You have already have experience with some internship, right?
[00:06:48]  Yes.
[00:06:52]  Okay, so what was the work you mostly did like in the project in target corporation you have mentioned?
[00:06:59]  What was the main involvement of you?
[00:07:04]  Can you give me a brief on that?
[00:07:06]  Yes, sure.
[00:07:07]  In the target, I was working in the backend development side mostly, but there are the both frontend and backend work was contributed by me.
[00:07:14]  I was created to Kafka producers end to end.
[00:07:18]  And I just involved in the...
[00:07:19]  Sorry, I couldn't get you.
[00:07:21]  Sorry to interrupt.
[00:07:22]  I couldn't get you after the Kafka word.
[00:07:25]  What were you saying?
[00:07:27]  Yes, I just wrote the two Kafka producers end to end for a pod deployment.
[00:07:34]  And I just reduced the security vulnerabilities by 90% in my team as a content pipeline.
[00:07:39]  And I also designed and implemented matrices and alerts to know about the analysis purpose.
[00:07:48]  I just focus on building secure and scalable backend system mostly, but I just got some of the frontend part also.
[00:07:56]  There is some of the part in my team, there is a Nexus part.
[00:08:00]  So in that I was done some technology.
[00:08:03]  in the react just also so i am in the boat of experience in the target as a front end and back end
[00:08:12]  Okay, so you have experience with both, right?
[00:08:13]  Okay.
[00:08:14]  Yes.
[00:08:17]  Okay, then.
[00:08:30]  So you mentioned you have Kafka based auditing audit tracking, right?
[00:08:35]  For image sync workflows I see.
[00:08:38]  So can you explain the architecture behind it?
[00:08:40]  How it enable real time events monitoring?
[00:08:44]  How did you implemented it?
[00:08:47]  Yes, firstly, I am in the part of the team of the content pipeline in that we are just take we are giving the images and videos from the other teams and we need to rectify the
[00:08:59]  departments and events based on that we are sending to the other teams so they can.
[00:09:05]  They can create the UI based system so it will be uploadable part so the architecture was very simple in Kafka to enable the real time tracking
[00:09:15]  whenever the image is flowing occurs through so the producer
[00:09:21]  producer publishes an event to the Kafka topic that was written by me.
[00:09:25]  In that I just mentioned that as the image ID, status and timestamp and action.
[00:09:31]  If suppose the image is based on the variation
[00:09:33]  theme or color so it will show the status and it will show the image sync status if the image is successfully synced with the other images as a variation theme so it will show the status and i just use the
[00:09:49]  distributed event streaming platform to analyze how the image flowing is done and i use the graph also in that panel to means analysis
[00:10:00]  purpose and for the real time monitoring I will implement that producer asynchronously because if the something is conflicted so it does not depending on my producer
[00:10:12]  so I wrote all the code asynchronously and yeah that's all
[00:10:21]  Okay, okay.
[00:10:23]  Yes.
[00:10:25]  Next.
[00:10:31]  So, all the projects do the two projects you have mentioned here, Twitter clone and AI and it is your analyzer.
[00:10:36]  So, I don't think the Twitter clone is the recent one, right?
[00:10:40]  So, can you like give me a brief go through of this Twitter clone by sharing a screen?
[00:10:48]  Right now, not my own laptop.
[00:10:52]  Oh, okay.
[00:10:53]  Okay.
[00:10:53]  So this is not hosted.
[00:10:55]  It is in your.
[00:10:58]  No, it is in your local machine, right?
[00:10:59]  But it's not in my local right now.
[00:11:03]  Oh, okay.
[00:11:04]  No worries.
[00:11:04]  No worries.
[00:11:05]  You want?
[00:11:10]  It's visible on my screen?
[00:11:13]  No, it's not visible.
[00:11:17]  Yes, it's right now.
[00:11:18]  No, it's not.
[00:11:19]  Yes.
[00:11:25]  Okay, so you mean telling me you are not in your local machine where you have the project set up so you can't show it direct.
[00:11:32]  I'm right now because I'm my relatives home.
[00:11:35]  So that's okay.
[00:11:37]  Okay.
[00:11:37]  So any of these two projects out of any of these two projects are any of these hosted somewhere deployed so that I can go through some of this.
[00:11:47]  Yes, it's true.
[00:11:49]  Give me a minute.
[00:11:54]  I had posted one of the
[00:12:05]  I posted one of the project in the Azure.
[00:12:08]  It's for my, this is one of the program from the Microsoft Reddit Island.
[00:12:16]  Mm-hmm.
[00:12:17]  Okay.
[00:12:50]  Only the one project is right now it's on live.
[00:12:56]  Okay.
[00:12:57]  It's a project I was doing in the second year of my college.
[00:13:01]  When I just started in the Microsoft Future Ready Thailand program, at that time they are giving the Microsoft Azure tokens and then we need to develop our website or whatever the initiative we are taking about that particular program.
[00:13:14]  So in that I just created that particular website.
[00:13:16]  It's only about right now it's on the live page.
[00:13:19]  Other I don't think so anything.
[00:13:24]  Oh, okay, okay.
[00:13:26]  If it's possible, tomorrow we'll also all the things with you.
[00:13:31]  Oh, no worries, no worries, no worries.
[00:13:33]  So let me check.
[00:13:36]  So this Twitter clone that you have mentioned.
[00:13:39]  Yeah.
[00:13:40]  So was it just a build scalable microservice?
[00:13:42]  So basically build a complete full stack application, not just the front end part, right?
[00:13:47]  So it's a full stack overall.
[00:13:52]  Overall, users can join, register, login, okay, or each and everything.
[00:13:57]  Yes.
[00:14:00]  Okay, so you have mentioned here you reducing API latency by 40% for high traffic operations.
[00:14:07]  So like no months, the like, can you tell me how did you calculated this high traffic operation?
[00:14:13]  Like, I don't think like your project must be getting this much traffic.
[00:14:17]  So how it was possible for you to mention the latency have been reduced by 40%?
[00:14:23]  Especially for high traffic is there any way or tool that where you can mention this
[00:14:31]  test this yes you are right i just tested this of the twitter clone website with my friends or so many my groups so in that that's why i just uh mentioned that traffic in a particular resume
[00:14:45]  I just handle that with the help of the control test environment.
[00:14:48]  And I'm having that so many API requests.
[00:14:52]  And I will face that particular tweets or timelines.
[00:14:56]  So in that way, I just handle.
[00:14:58]  And before it will be so much unoptimized queries are there.
[00:15:03]  But after that query optimization with the help of the API response, I made that particular 40% improvement in response time.
[00:15:14]  Okay, okay.
[00:15:16]  And there is one more thing, AI resume analyzer, right?
[00:15:21]  So can you give me a brief like what is this AI resume analyzer, what it does?
[00:15:27]  Yes.
[00:15:28]  It's my final year project.
[00:15:30]  We are having four people of group in that I created the AI resume analyzer with my, it's my contribution with my friends in college project.
[00:15:40]  The AI resume analyzer is totally web-based application that will evaluate your performance of the resume on the specific job role.
[00:15:48]  If you are putting the job role, so it will give you the percentage of whatever it will firstly extract all the
[00:15:55]  all your skills, experience and education with their about that NLP I use in that particular project, then it will be compared with the job description.
[00:16:04]  If the job description having some of the keywords that are included in the resume, so it will be giving the good percentage of the resume to that particular job description.
[00:16:16]  In that way, it is used.
[00:16:18]  Firstly, we need to upload the resume on that particular website.
[00:16:23]  Then at the back end, it will be processed by the NLP, natural language processing.
[00:16:28]  Then one of the API was used, the OpenAI.
[00:16:31]  And it will be used to do the score of that particular with the base on the job description and the resume.
[00:16:37]  If the keywords are matched, then it will give you the good score.
[00:16:40]  If it's not, then it will not give you the particular score on that one.
[00:16:44]  That was the approach or the process I was using that particular project.
[00:16:48]  It's one of the projects that in the college we got the first prize because that project was built on that particular way.
[00:16:55]  So it will be everything it's work fine on that time.
[00:17:00]  Okay, got it.
[00:17:02]  So basically, the flow was something like this, a user will come, he will upload the PDF or what, or doc file.
[00:17:10]  And after that, all the contents as, okay, so my question for here was, suppose I upload a PDF file.
[00:17:19]  So how did you manage the rest of the things?
[00:17:24]  After that, I did not get it.
[00:17:26]  Like suppose I uploaded a PDF.
[00:17:29]  So how did you took that data and then you send it to the open API?
[00:17:34]  Am I right?
[00:17:34]  Like this?
[00:17:36]  No, no.
[00:17:36]  First, you upload a PDF in the UI.
[00:17:42]  Then it will send to the backend.
[00:17:44]  I just use the flask for the backend.
[00:17:47]  Then it will be checked.
[00:17:49]  Then it will be first extracting with the help of the NLP, all the data from the education skill, whatever we are including in the resume.
[00:17:56]  So it will be extracted and it will be processing to some of the
[00:18:01]  contain of whatever we are using like a tokenization with the structures then it will be matching the keywords of the job description and resume if it's match then we are using the you are you are saying that open open api
[00:18:16]  at that after that matching the
[00:18:19]  keywords between both of them then will be the open API was used in that one to generate the score of the resume and job description then it will be
[00:18:28]  you the score of that particular particular match between the job description and the resume that was okay so
[00:18:36]  okay so for the score generation you generated it from the api right from open ai so there must be some system prompt and some data which you must be sending so my question is what what is this that you are sending before with with the open ai
[00:18:52]  to the open AI to generate this code.
[00:18:56]  Okay, means you are want to know means which type of API we are sending.
[00:19:01]  No, no, no, no, no, no, not API.
[00:19:02]  I was asking for to work with open AI or not open AI.
[00:19:07]  So to work with the AI, whatever you are using, we must send some system generated from there must be a system generated from right.
[00:19:14]  Yes.
[00:19:15]  You got it?
[00:19:16]  Yeah, yeah.
[00:19:17]  I think we are used like the simple prompt like you are the AI resume evaluator or something predictor.
[00:19:26]  So you need to analyze that particular resume against that job description.
[00:19:31]  Then tell me the score between 0 or 100 as a percentage.
[00:19:36]  With matching skills, education, and any suggestion or the keywords matching.
[00:19:41]  So that was the only simple prompt we are given at that time.
[00:19:47]  Okay, okay, you got it.
[00:19:49]  It's like in the JSON format we are.
[00:19:53]  Got it.
[00:19:54]  And I see you have mentioned streamlit here.
[00:19:57]  So can you tell me what was the
[00:19:58]  a use of streamlit here, what you
[00:20:00]  Yeah, it's for the dashboard we are uploading on the stream lead.
[00:20:07]  It's a very interactive dashboard for any of the application.
[00:20:10]  If we are creating any projects and we want to deploy in an interactive way of UI or in the web.
[00:20:17]  So mostly we are using the stream lead because it will give you the dashboards that we made.
[00:20:23]  We need to only upload the data.
[00:20:25]  So that's why we are having the standard use for the upload UI interface.
[00:20:31]  And if it shows the score, then it will give it in a circle or in a oval shape score.
[00:20:37]  So it will be attracted where particular users.
[00:20:40]  So in that way, we are used at particular standard in our project.
[00:20:46]  Okay, so basically like the end user, whatever the end user sees, it is displayed on Streamlit, right?
[00:20:53]  Yeah, yeah.
[00:20:55]  Okay, got it.
[00:20:57]  So let me come to the resume once again.
[00:21:00]  Yes, sure to your time.
[00:21:08]  Okay, so I see some of you have written implemented secure RESTful APIs and JWT-based authentication, right?
[00:21:16]  So can you tell me one thing?
[00:21:19]  What's the full form of RESTful in the...
[00:21:24]  REST APIs.
[00:21:27]  RESTful APIs is like a representational state transfer.
[00:21:32]  It's a full form and whatever the communication between the server and the user with the help that we can know about from the HTTP methods, there are the four methods generally we are use get, put, post, delete.
[00:21:45]  It's a common method.
[00:21:46]  So we are sending some data or facing some data.
[00:21:49]  So with the help of that HTTP methods, we can easily means.
[00:21:55]  We can easily check the communication between the user and server.
[00:21:58]  So it's for checking.
[00:22:00]  We need to write one of the controller.
[00:22:04]  That's what.
[00:22:10]  Okay, got it, got it.
[00:22:12]  And can you explain me the difference between what is state and stateless here in JWT's concept?
[00:22:24]  Yes, JWT token is one of the things used for the secure authentication.
[00:22:29]  I use in the G management system, JWT token.
[00:22:34]  For the state, I think it is information between we are storing on the some of the session means.
[00:22:42]  Means if the user has time to log into the particular website or application, so some of the information we are storing on the request, so it is the state for storing information and for the stateless
[00:22:59]  means I think we did not having the client having any storing information whatever we have at that time so we need to done any credentials and directly need to
[00:23:11]  For us, there is not any information on storing.
[00:23:16]  Oh, okay.
[00:23:17]  That's what I wanted to say.
[00:23:18]  Yeah.
[00:23:21]  So,
[00:23:26]  Okay, so my next question is, what are the
[00:23:31]  What's the difference between symmetric and asymmetric signing algorithms in JWT's concept?
[00:23:36]  Do you know this?
[00:23:39]  Can you repeat once symmetric and asymmetric?
[00:23:43]  In JWTs, we basically encrypt the data, right?
[00:23:45]  We sign the data or whatever has or something like that.
[00:23:49]  So what's the difference in symmetric and asymmetric?
[00:23:53]  Yeah, it's a concept from the cybersecurity.
[00:23:55]  Yeah.
[00:23:56]  For the symmetric, I think there are the two keys.
[00:23:59]  One is the private and public.
[00:24:02]  And for the asymmetric.
[00:24:03]  Good.
[00:24:06]  For the asymmetry, I think they are the both of them are used.
[00:24:11]  Okay, no worries.
[00:24:12]  We can continue this afterwards.
[00:24:14]  Yeah, sure.
[00:24:14]  Okay, okay.
[00:24:22]  JWD generally used for the secure authentication.
[00:24:24]  There are the two types we use authentication and authorization.
[00:24:28]  First for the authentication, the system takes the credentials right or not.
[00:24:33]  For the authorization part, they will check which type of feature or access we want to give to the user.
[00:24:38]  That's what JWD is used for.
[00:24:43]  Are there any alternatives of JWT in today's industry?
[00:24:50]  Have you worked with any of them?
[00:24:52]  Any alternatives?
[00:24:53]  Sorry, but I did not get any of the other.
[00:24:56]  Yes, there are so many, but I don't know right now at the moment.
[00:24:59]  I did not work with any other technology.
[00:25:02]  As compared to the JW.
[00:25:03]  I just want to make sure it's in.
[00:25:05]  Okay, okay.
[00:25:05]  So, okay.
[00:25:06]  Do one thing.
[00:25:07]  Can you explain me how we do cookie based authentication and JW based authentication?
[00:25:12]  Have you worked with cookies?
[00:25:14]  Yeah, cookies, it's a common whatever we are storing data on the server.
[00:25:19]  It's a basic understanding for the whatever we are having some of the credentials.
[00:25:25]  So it's stored on that particular station on the server side.
[00:25:30]  And wherever we are typing anything, so it will be take that particular.
[00:25:34]  thing and it will be automatically sent to the server so in that way the cookies will work and i will use the jw2 authentication in some of the projects for the cookies part for the gym website i just use i think so
[00:25:51]  Okay, okay.
[00:25:53]  I'm going to release.
[00:26:03]  So you have worked with microservices too, right?
[00:26:05]  In your professional experience or have you built any projects on that?
[00:26:10]  Yes, right now in the target corporation, I was working with the Springboard and microservices both.
[00:26:19]  So, can you explain me what a microservice is and how it's different from its other opposite, whatever it is called?
[00:26:28]  Do you know the term for the opposite of microservice?
[00:26:33]  Means you want to know the opposition of microservices.
[00:26:40]  Yes, micro services we are use it's like a architecture where we can able to break down the means we are we can able to divide the big thing into small independent services
[00:26:52]  and that will give you the communication between the other APIs or the server and client.
[00:26:58]  And there is another architecture I was here recently.
[00:27:01]  It's like a monolithic architecture.
[00:27:04]  It's like it's not famous as microservices right now, but it's also a unified code base, I think.
[00:27:14]  So basically, I don't know more about monoliths.
[00:27:17]  Huh?
[00:27:18]  Huh?
[00:27:18]  But I'm...
[00:27:19]  Monolithic is just opposite, opposite of microservice, basically.
[00:27:23]  Monolithic is like when everything is in the same.
[00:27:26]  Yeah.
[00:27:26]  No worries.
[00:27:27]  Yeah.
[00:27:28]  Okay.
[00:27:28]  So can you explain me why should we opt and when and why should we opt for microservices?
[00:27:34]  Like not all the projects, not all the projects, not all the companies used microservices, right?
[00:27:40]  There must be any particular...
[00:27:44]  Are you saying something?
[00:27:45]  Yes, there are many reasons why the companies or the industries approaching to microservices because in the one platform we can know everything at one place because the microservices having so many benefits like it is an independent development
[00:28:00]  and it will handle so many loads if so many users are there so it will easily handle it is flexible in some way.
[00:28:08]  So there are so many advantages for the deployment purpose.
[00:28:12]  It's also giving in a rapid way it will work.
[00:28:17]  And for the technology side, so it will be very familiar with in order technology, we can integrate Java, Python, Node.js easily with microservices.
[00:28:25]  And it's for a team purpose or at the large application so it is very good for collaboration purpose so that's why the microservices is one of the thing that industry is approaching and adapting that particular thing and there are the various
[00:28:40]  complexity are there so
[00:28:43]  But they are mostly we are using in a large scale applications microservices and it will be handle most traffic or users in a one way and it will be the industry adoption approach mainly.
[00:28:58]  Oh, okay, okay, understood.
[00:29:02]  Got it.
[00:29:04]  So I'm seeing you have worked mostly with Java, I guess, right?
[00:29:08]  Or have you any other experience with TypeScript or JavaScript?
[00:29:16]  Yes, in the Big Fish benefits, I am having the initial experience of JavaScript because at that time I was working as a front-end developer in the Big Fish benefits.
[00:29:26]  But recently in the target, I did not get a chance to work so much on the front-end side.
[00:29:32]  So I was working recently from a Java.
[00:29:34]  So that's why I just in my from my mouth, it is taking Java mostly.
[00:29:39]  But I am having the experience of JavaScript also.
[00:29:41]  But I'm not hands on too much right now because I'm just coming from the background on the back end.
[00:29:47]  But if once I get a chance of hands on, so I will be able to be easier for me to work on both front end and back end.
[00:29:54]  No, okay.
[00:29:57]  So in Java,
[00:30:00]  How do you like in Node.js from I have been working for Node.js since my working from since the start of Node.js JavaScript actually.
[00:30:08]  So can you explain me and also in Node.js to make a backend basically we use frameworks like
[00:30:16]  expression something to build HTTPS servers on October that so how do you handle it in Java can you do one thing can you share your screen and write a small code a small
[00:30:29]  yeah sure will you be able to do it yeah my screen is already visible
[00:30:41]  I just want to see how you have to implement a backend in Java.
[00:30:45]  Yeah.
[00:30:50]  Java you want.
[00:30:52]  Firstly, we need the controller file.
[00:31:05]  Let's conclude that.
[00:31:09]  From the gate, we can able to get the face data from that particular server like the APIs.
[00:31:33]  We can change the path whatever we require for the APIs from where we want to take the APIs on the server.
[00:31:59]  Then we want to fetch the data from the server so we can use the gate.
[00:32:10]  Yeah.
[00:32:13]  Hi.
[00:32:30]  Whatever the function we can write to it.
[00:32:42]  So it's done.
[00:33:01]  We can need to write there is a function whatever we are loading.
[00:33:06]  So we can write any other thing.
[00:33:14]  Click string.
[00:33:21]  Ciao.
[00:33:29]  I think it's work.
[00:33:32]  Hello.
[00:33:33]  Yes, I want to do that.
[00:33:35]  Yeah.
[00:33:36]  Yeah, yeah, yeah.
[00:33:37]  I'm seeing it.
[00:33:37]  Public class server.
[00:33:39]  Got it.
[00:33:40]  From the data from the server.
[00:33:44]  And how do you handle JSON in Java?
[00:33:47]  Like basically Node.js is very compatible with JSON formats and basically JSON stands for JavaScript object notation.
[00:33:57]  But how do you handle it in here?
[00:34:00]  Because REST API is mostly worked with JSON, right?
[00:34:03]  Yes.
[00:34:05]  So how do you accept JSON record?
[00:34:06]  Suppose in get method, you want to send a JSON data like name equals to Pratham.
[00:34:14]  So how would you be sending that?
[00:34:17]  According to me we can handle it from the java also there are the libraries like there are some libraries in java so we need to import in the in the top of the thing then we can able to
[00:34:32]  i think there's some of the import
[00:34:35]  Library is here so we can able to import in Java.
[00:34:38]  I'm not sure the name of that particular library.
[00:34:40]  It's like something Jack or something like that.
[00:34:44]  Okay, so have you worked with Jason or you how do you work with him in your company?
[00:34:50]  You work with normal data like or in another format, how would you be working?
[00:34:56]  What?
[00:34:58]  I was asking how have you worked in here because you mentioned that you have worked with REST APIs and you also mentioned you have worked with Java.
[00:35:08]  So how have you done it?
[00:35:09]  Like you have an experience, right?
[00:35:12]  Yeah, I think we are need to import the libraries.
[00:35:18]  Okay, okay, got it.
[00:35:19]  So you, you can go, no worries, sorry.
[00:35:22]  Yeah.
[00:35:23]  Okay, so last few questions and then we'll just close this off.
[00:35:36]  So you have had full stack experience, right?
[00:35:38]  From backend, frontend, you mentioned you have already done frontend.
[00:35:42]  And you have mostly working with backend only.
[00:35:44]  So you have had full stack experience, no?
[00:35:46]  Yes.
[00:35:47]  Good.
[00:35:48]  And how about some, have you also mentioned like CICP and cloud platforms, GCP and AWS?
[00:35:55]  So can you explain me like what experience you have mostly with this?
[00:36:00]  Because it's not just a simple concept of GCP and AWS.
[00:36:04]  AWS provides thousands of services.
[00:36:06]  So what are the services you are most familiar with and you can work off easily on it?
[00:36:13]  Yes, when I'm in the college, at that time there's one of the committee, it's like a Google Development Student Club, you also know.
[00:36:20]  So in that community, I was a cloud facilitator for the four years.
[00:36:24]  So as a university facilitator, I need to train the people regarding that particular GCP labs and GCP environments.
[00:36:36]  So I just trained 1400 plus students at that time when I'm in the college.
[00:36:41]  So from that point, I just having so many tokens.
[00:36:44]  So I need to solve the
[00:36:45]  so many labs or training.
[00:36:47]  So in that I am having a little bit experience from the Google Cloud platform.
[00:36:52]  And for the AWS, I have done some of the course from the AWS Academy.
[00:36:57]  It's like a data practitioner course.
[00:36:59]  So I am having a little bit practical knowledge and theoretical knowledge in that both part.
[00:37:05]  But for the services you just recently mentioned, so from the Google Cloud Platform, I know the IAM services, it's for managing roles and permission, identity, access and management.
[00:37:18]  It's one of the services I use recently and saw so many labs on that particular one.
[00:37:23]  And for the AWS, I just know very much EC2 and ST.
[00:37:27]  It's a very common services.
[00:37:30]  Mostly people knows.
[00:37:31]  So I know the three of the services from the two AWS and for one from the one cloud platform.
[00:37:38]  And for the GCP, I saw so many labs or training.
[00:37:41]  So in that I'm having a little bit hands on on the GCP.
[00:37:46]  If you're comparing to the AWS.
[00:37:48]  Got it.
[00:37:49]  Got it.
[00:37:50]  I got it.
[00:37:51]  Yeah.
[00:37:53]  So you have worked with labs and all, but in real means in real world experience, have you deployed any applications like the routine CICD pipelines with all this?
[00:38:02]  Anything?
[00:38:04]  Any experience with that?
[00:38:05]  Yes, you're talking about GCP or AWS.
[00:38:09]  Any of those.
[00:38:10]  You can do in any of those.
[00:38:13]  It doesn't matter.
[00:38:14]  Yes.
[00:38:15]  Honestly, I didn't.
[00:38:15]  not work on the AWS as a hands-on, but for the Google Cloud Platform, for the labs, we need to deploy some of the applications or systems on the deployment part.
[00:38:27]  So, there are all the...
[00:38:30]  Let me ask you one thing.
[00:38:32]  I was also the lead of my college.
[00:38:34]  And I know that labs are very, very like spoon feeding stuff there.
[00:38:38]  And because they are mostly they are given to the students to learn.
[00:38:44]  But I don't think students learn from that labs because what I have seen in my college too, they were just running behind goodies and all that stuff.
[00:38:51]  Our call, it was same, right?
[00:38:53]  In your college.
[00:38:53]  Yeah, they provided goodies for completing labs.
[00:38:56]  So I know that because the labs were the like they were for good for learning, but I don't think any of the students utilize it.
[00:39:02]  So I don't consider it like real world learning because and also the labs are very spoon fed.
[00:39:07]  Each and every step is given.
[00:39:08]  You just need to copy and paste and all.
[00:39:10]  So it becomes just like a.
[00:39:13]  What I what is the rigorous something just for the job if people start doing it for the job is safe for the goodies okay so we I don't consider it and much as a world experience but if you have any experience with deploying
[00:39:28]  real world applications anywhere okay so can you can you say me that you have you had to
[00:39:34]  No, in the recent internship I targeted, in there I was deployed some applications for the GCP.
[00:39:40]  We are having the access of the GCP and we need to pay as go policy in the GCP.
[00:39:46]  So I had work in that one.
[00:39:47]  So that's what the experience I am having.
[00:39:50]  And for your point, it's very usual because for the GCP, they are providing the goodies and so many, many bits.
[00:39:58]  That's why mostly people are doing
[00:40:00]  that particular thing from the YouTube or anywhere from the online purpose.
[00:40:03]  It's a question from because I am also the facilitator.
[00:40:07]  So I know what the people follows.
[00:40:09]  That's what and yes, having everything very we need to only place the command there and it will be done.
[00:40:16]  But in the target, I have in the particular production environment that we are deployed on the GCD platform.
[00:40:22]  So I know a little bit having some exposure there.
[00:40:25]  But from that, I did not.
[00:40:28]  Yeah.
[00:40:29]  Yes.
[00:40:30]  So I was asking why that only.
[00:40:32]  Have you had real world experience?
[00:40:33]  Because I know I have been lead for one year.
[00:40:38]  It was basically for a year only.
[00:40:39]  So I know how it happens and how it goes.
[00:40:41]  So, okay.
[00:40:42]  So thank you.
[00:40:45]  That was good.
[00:40:47]  I think there is, what's the time?
[00:40:49]  Not quite, okay.
[00:40:51]  No, but it's a...
[00:40:53]  We'll let you know, okay?
[00:40:55]  Your voice is breaking.
[00:40:57]  Hello.
[00:40:59]  Have a horrible time.
[00:41:01]  Your voice is breaking.
[00:41:03]  Hello, maybe some internet issue or something.
[00:41:06]  It's fine right now.
[00:41:07]  Yeah.
[00:41:08]  Fine.
[00:41:09]  Okay.
[00:41:10]  So we will continue in this now.
[00:41:12]  Okay, Pratham.
[00:41:12]  So it was good having to interview you.
[00:41:16]  If the team continues with you, we will let you know.
[00:41:19]  Okay.
[00:41:19]  We will call you through phone number or email, whatever.
[00:41:23]  Since appropriate, we will let you know.
[00:41:26]  What are the recruiting process means for that particular role as a full stack?
[00:41:30]  It's a technical interview.
[00:41:31]  We were looking mostly for full stack.
[00:41:34]  Hello.
[00:41:35]  Am I audible now?
[00:41:35]  Yeah, you are audible.
[00:41:38]  So I was saying we were looking mostly for full stack roles, one who can handle a project end to end.
[00:41:44]  Okay.
[00:41:45]  We are also one something we were looking for is key one who takes.
[00:41:51]  Ownership of the project like if it's given to him or her he will just take it and deliver it on time because our
[00:42:00]  thing is that we have projects too much but the thing is that good people who take up ownership are like very less to find or difficult to find most of people who work
[00:42:10]  or we can be candidate we take interview they are basically looking for something to just work on nine to five and just finish
[00:42:21]  we are not something like that we are looking someone who takes ownership of the okay yes that's what i just want to deliver here
[00:42:28]  because in the target also we are only giving some of the kind of tasks or use cases for the particular technology but if i get a chance in here in kach karma so i need to deploy anything from a scratch or need to learn so it's a very good opportunity for me also
[00:42:43]  i just want to ask one question uh what is
[00:42:47]  what is the feedback on my interview regardless with that particular role or outside also what i can say to improve you now is
[00:43:00]  I think this is mostly good.
[00:43:02]  I don't saw any problems with that.
[00:43:05]  What I can say is that you can do one thing.
[00:43:07]  You can, the things you have mentioned in the resume, like it's quite vast.
[00:43:12]  I would suggest that you struck it down to all the things which you know perfectly.
[00:43:16]  Like you told me AWS is not, you have not worked with AWS.
[00:43:19]  So I would suggest keep small, keep all the things which you know perfectly, like you have mastered or you have worked with in real life.
[00:43:25]  Okay.
[00:43:26]  Because that leaves a quite bad impression key without knowing or prior experience you have kept some things in your resume it misguides or misdirects the interviewer okay so so i would suggest that
[00:43:39]  Yeah, I only mentioned that because of...
[00:43:42]  Yeah, yeah.
[00:43:43]  I only the theoretical concept, no?
[00:43:45]  But I did not work on the hands-on on AWS.
[00:43:47]  That's only...
[00:43:48]  No worries.
[00:43:49]  That's why I would suggest because AWS and GCP are totally means very huge difference.
[00:43:54]  People think that knowing one cloud platform is like very...
[00:43:58]  And we can do on anything because...
[00:44:00]  GCP, CVO, DigitalOcean, AWS are like very vast.
[00:44:05]  So even if you are master at GCP, you can't be able to do the same thing on AWS because things are quite same.
[00:44:12]  The services also match, but at the core level and the overall level, the steps and procedures and each and everything changes.
[00:44:21]  Yes, I got it.
[00:44:23]  Okay, well, that was only from my side.
[00:44:25]  Rest I will let you know or our team will let you know, okay?
[00:44:28]  Whatever that happens next.
[00:44:29]  Till now.
[00:44:30]  When till now it's really got the results.
[00:44:34]  I would suggest if it happens, it will be happen by tonight or if it doesn't happen by tonight, most probably by tomorrow night.
[00:44:41]  It will be receiving them.
[00:44:43]  We will connect online if we find.
[00:44:45]  Yeah.
[00:44:47]  Okay.
[00:44:48]  Sure.
[00:44:49]  Thank you.
[00:44:51]  Thank you.