
A passionate and results-driven Full Stack Developer with 2+ years of experience in designing and developing robust applications using modern web technologies like React, Angular, Node.js, and Next.js. My expertise spans creating scalable solutions, crafting intuitive user interfaces, and implementing efficient back-end systems to streamline operations.
Engineering Lead
IT Service AgencyFull-stack Developer
Mobius by GaianFull Stack Developer
Gaian GroupFull-stack Developer

Angular
Figma

Next.js

OpenAI

GitHub
Jira

Shopify

REST

OpenAI API

Google Cloud Platform

VS Code

GitHub

GitLab

Bitbucket

Webpack

Parcel

Jest

ESLint

Postman

Chrome DevTools
.png)
JWT

Confluence
So I'm Sumanshu, a full stack web developer with 2 years of hands on experience in, creating, full stack front end as well as back end applications using technologies like React, Angular, MongoDB, Express, and other JavaScript queries and tools. and, I'm a BCCA graduate from doctor Ambedkar Institute of Management Studies and Research, and I have been working as a full stack web developer at Gaian Solutions from past, 9 months.
Describe a scenario where an atomic operation one more thing is critical. Yes. Application. I don't have any idea regarding this particular question. Sorry.
Give the given this React component state management approach, can you explain what potential issues may arise, and how could it be improved considering best practices? Extensive reactor component. Oops. So first thing I, realized is that we can make use of, functional components instead of, class based components in React, as they are more maintainable and manageable. also here. Yeah. That's it.
In React, what method would you say is essential for pop properly unmounting components that involve ongoing API requests? So we can make use of, side effect management tools like, useEffect in order to, unmount the components, which involve ongoing API request.
Explain a method to efficiently execute complex queries in MongoDB that needs to read and write data in a Node. Js application. Explain a method to efficiently execute complex queries in MongoDB. So we can make use of query management systems like GraphQL and, GRCP, in order to, efficiently execute complex queries in MongoDB that needs to be, that needs to read and write data in a Node. Js application.
Examine this JavaScript function that is intended to return a new array with each element squared. Can you identify any logical issue or improvement in this code? Okay. Function array. Okay. Where we have initialized an array for I zeros0iesser.length, and it will go on. Okay. Squared dot push. Okay. L.i into l.i. So we can make use of, accumulate function or, in order to properly, handle this in more, precise way.
You are building a, dashboard that needs to display a large dataset example. Okay. 10,000 rows. How would you ensure smooth rendering and efficient performance in React? That means that I told that needs to display a large dataset large dataset, that needs to display a large dataset. Okay. How would you ensure smoother rendering and efficient performance in React? So we can make use of, various strategies like lazy loading. we can also we can make use of, lazy loading.
As volume grew, what steps would you take using React DevTools and mobile device profiling to help finance all this issue? Your React app's performance has decreased significantly as data, as data volume grew. What steps would you take using React DevTools and MongoDB profiling to identify and solve the issue? K. We can make use of network tab and, locate where, which, portion of the code is, responsible for the poor performance. we can also optimize our MongoDB, profile by horizontal scaling or, any scaling strategy. So that's the solution, that comes to my mind right now.
So how you design a fault torrent system? Use fault torrent system using Node. Js and AWS for critical applications. Fault torrent system. I have no idea about, what fault torrent systems are, but I'll be really glad to get to know it and find the answer.
What considerations would you take into account when they are deciding between AWS services or for your full stack applications? So the, first thing that I've, that we would take into consideration is the volume of, people or the users that our application will have, the structure or the architecture of our application, which will significantly, impact the, data handling. So these are some things that we should take into consideration.