I'm a Computer Science engineering student at Lovely Professional University with an 8.19 CGPA. As a Full-Stack Developer, I specialize in the MERN stack, Next.js, TypeScript, and AWS cloud deployment. I thrive on building production-ready systems—from architecting real-time delivery tracking platforms like Unimart using Socket.IO to engineering voice-first AI educational tools like Study Solutions. Backed by a strong foundation in Data Structures and Algorithms with 200+ LeetCode problems solved and a Gold Badge in Java from HackerRank, I focus on writing clean, optimized code that delivers impactful results.
I build scalable, production-ready MERN stack applications
Flexible with time zones & ready for global remote work
My tech stack
Tech enthusiast with a passion for development.
Currently mastering Data Structures & Algorithms
Ready to add value to your engineering team?
A small selection of recent project
Unimart is a full-stack e-commerce platform engineered with React, Node.js, and MongoDB, featuring a responsive Tailwind CSS UI and secure payment integration for a complete online shopping experience.
Study Solutions is a real-time AI-powered educational platform built with Next.js, React, and Supabase, integrating GPT-4, Deepgram, and ElevenLabs via Vapi SDK for seamless voice-based conversational tutoring.
Bond and Bites is a robust restaurant management system built with the MERN stack and Cloudinary, streamlining order processing and menu management with a highly responsive, user-friendly interface.
Recipe Finder is an interactive culinary application developed with React and Tailwind CSS, leveraging external APIs to allow users to effortlessly discover, filter, and save their favorite global recipes.
