About Me

I’m a Software Engineer focused on building scalable backend, distributed, and AI-powered systems. I have 3+ years of experience working with Java, Spring Boot, Kafka, AWS, Kubernetes, React, and modern cloud-native technologies. At Cognizant, I worked on large-scale production systems, including a Spring Boot microservice supporting 90M+ users with 99.95% uptime and distributed Kafka pipelines where I improved latency and reliability through idempotency, retries, and deduplication.

Beyond enterprise systems, I enjoy building products end to end. I created Meet AI, a real-time AI meeting agent that joins video calls, delivers sub-second conversational responses, answers questions using meeting context, and automates transcript processing and LLM-based workflows. I’ve also built and deployed machine learning applications using Python, FastAPI, TensorFlow, and Keras.

I enjoy solving complex engineering problems, improving reliability and performance, and turning ideas into production-ready products that can scale.

My Skills

JavaScript
TypeScript
React.js
Next.js
HTML
CSS
Material UI
Tailwind CSS
Node.js
Express
Jest
React Testing Library
MongoDB
Redux
Webpack
Babel
NPM
Git
Figma
AWS (EC2)
Cloudinary
Azure
MySQL
Jenkins
GitLab
Jira
Bitbucket
Confluence
C++
Python
FastAPI

My Projects

Meet AI

Meet AI is a SAAS application where users can create an agent and use that agent to join a call to clear any doubts they have. Users can sign in and sign up by filling a form or using their google or github acount. Initially the account will be a free account but the users can enroll in required subscriptions and get all the benefits of a paid account.

ChatAway

ChatAway is a web application where users can send text messages and photos to friends. Users can change the theme of the application and upload their own profile picture. Users can login with their Google account or create an account. The front end was built with React.js and the back end was developed using Node.js and Express.js. The application uses Socket.io for real-time communication and MongoDB for data storage. DaisyUi and Tailwind CSS were used to style the application. The application is still in progress.

Carnival Game in VR

VR Carnival Experience is a fun virtual reality game that brings the excitement of a real carnival to life. Using a VR headset and motion controllers, players can walk around a colorful carnival, play classic games like Can Knock Down and Balloon Pop, and earn points. The carnival is full of bright colors, lively sounds, and a happy atmosphere to make players feel like they are really there. Motion controls let players throw balls and interact with the games just like in real life. Built with Unreal Engine 5.5, the game is easy to play and enjoy, even for people new to VR. The focus is on having fun, feeling part of the carnival, and enjoying a lively digital world.

Plant Disease Detection using Python

A web app that allows users to upload plant images and check if the plant is healthy or has early or late blight. The front end was built with React JS, and the back end was developed using FastAPI. A convolutional neural network model was used, achieving 95% accuracy. The project was built using Python, JavaScript, HTML, and CSS.

Candy Crash Game

A ReactJS game where players match and crush candies that are next to each other. When a candy is crushed, the candies above it take their place, and new ones appear at the top. The score increases by one for each crushed candy, and the final score is shown to the user. The project was built using React Js.

Zentry

Zentry is a professional website with GSAP animation. The website has loading logo, smooth transition animation, and is responsive in design. The concept of flex was used to align items in the website. The main purpose of this project was to learn how GSAP animation worked. The app was created using React, JavaScript and the styling was done using Tailwind CSS

Create Note - Material UI

Create Note is an app where users can create note and use the information on the note as a reminder what tasks needs to be done. The app was made using React and the website was done using Material UI.

My Achievements

AchievementCodechef SnackDown 2021 - Certificate of Participation

Earned a certificate for taking part in the Codechef SnackDown 2021 contest, a global competition that tested coder's problem-solving and coding skills

AchievementCodechef - 3 star coder

Secured 3 star for solving coding problems on Codechef, demonstrating strong problem-solving abilities and proficiency in algorithms and data structures.

Professional Endorsements

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