About Me
I am a Computer Science undergraduate currently in my third year, with a strong passion for coding and building scalable backend systems. I actively develop projects and contribute to GitHub, and I occasionally participate in open-source initiatives to collaborate and learn from the developer community.
I have taken part in multiple hackathons, including the Bolt Vibe Coding Hackathon and Walmart Sparkathon, and have been a finalist in several competitive hackathons. Currently, I am focusing on learning cloud architecture for backend systems and enjoy collaborating on impactful open-source projects.
Quick Stats
- LocationRemote / India
- StatusCS Undergraduate
- FocusBackend & AI
Skills
Work Experience
Open Source Contributor
Hacktoberfest 2025
Participated in Hacktoberfest 2025, contributing to open-source projects worldwide. Made 10+ pull requests and merge requests across various repositories, focusing on backend development, feature implementation, and bug fixes for maintainers' repositories.
Key Contributions:
- •Successfully merged 10+ PRs/MRs across multiple open-source projects, demonstrating versatility in different tech stacks.
- •Contributed to backend development, implementing new features and API endpoints for production applications.
- •Fixed critical bugs and improved code quality in maintainers' repositories, enhancing overall project stability.
- •Collaborated with global developers, following best practices for code review and documentation.
Bolt World's Largest Vibe Coding Hackathon
Bolt Hackathon
Bolt Vibe Coding Hackathon - Solo Participant. Built an app for detecting fake jobs using machine learning models including regression modeling and random forest. Developed with Next.js, Tailwind CSS, and GSAP for smooth animations.
Key Contributions:
- •Engineered an automated system to detect fake job listings using pattern recognition and verification algorithms.
- •Focused on creating a safer environment for job seekers within major job portals.
Projects
VitalEase — Gamified Mental Health Platform — Flask, MongoDB, Redis, WebSockets
Architected a scalable mental health platform to support users dealing with depression, anxiety, and PTSD through interactive therapeutic games – Implemented Redis caching for high-speed score storage, significantly reducing latency – Developed secure RESTful APIs with role-based access control using Flask and MongoDB – Integrated WebSockets for real-time progress tracking and notifications – Optimized media handling using Cloudinary for medical assets
Real Estate Website — Flask, MongoDB, React
Built a full-stack real estate platform with React frontend and Flask REST APIs – Enabled seamless communication between admin and user panels via secure endpoints – Applied rate limiting on authentication to prevent abuse and enhance security
Restaurant Management & Analysis
A full-stack web application for restaurant owners to analyze customer reviews, monitor sales trends, reduce food wastage, and boost revenue. Built with React, Flask, and MongoDB with interactive dashboards using Matplotlib, Seaborn, and Pandas.
Real-Time Chat Application
A full-stack MERN chat application with real-time messaging using WebSockets. MongoDB serves as the primary database, while Redis is used for caching and efficient message handling.
Ecofinds - Student Marketplace
A smart MERN stack marketplace where students can buy and sell second-hand products at affordable prices with secure listings and smooth transaction management.
React Native Hotel App
A cross-platform mobile application built using React Native, Docker, and Supabase for browsing and booking hotels with real-time database integration.
Real Estate Multi-Agent AI
An intelligent multi-agent AI system for real estate built using Google ADK to automate property analysis, recommendations, and market insights.
