ABOUT ME
I'm a passionate Computer Science student at MMMUT, driven by the art of problem-solving and the thrill of competitive programming. My journey in technology spans across multiple domains, from crafting elegant web solutions to exploring the frontiers of machine learning.
With a strong foundation in algorithms and data structures, I channel my competitive programming skills into building real-world applications that make a difference. You can check out my competitive programming journey on Codeforces where I maintain a rating of 959.
SKILLS & TOOLS
ACHIEVEMENTS
100 PERCENTILE
Computational Thinking (IITM BS Program)
AIR 4142
IISER Aptitude Test
1600 RAPID
Chess.com Rating
HACKTOBERFEST
Completed 2023 & 2024
TOP 8%
Codeforces Kotlin Round
THROUGH MY LENS
FEATURED PROJECTS
RAP CASED
RAP CASED is a visually immersive, lo-fi themed e-commerce experience crafted with React and powered by Next.js for seamless routing and high-performance rendering. Styled using Tailwind CSS, and deployed on Vercel’s edge network, it delivers a fast, responsive dark UI inspired by hip-hop culture. With a modular component architecture, fluid scroll animations, and optimized asset handling, it embodies clean, scalable frontend engineering and modern web best practices.
MESS SLOT BOOKING
MessMate is a full-stack, campus-focused slot booking platform engineered with Next.js for hybrid rendering and MongoDB as its dynamic backend datastore. Designed with a clean, mobile-first UI using Tailwind CSS, and deployed seamlessly via Vercel, it delivers a fast, intuitive user experience optimized for high concurrency and real-time interaction. Built with a modular architecture, RESTful API integration, and scalable data flow, the app showcases production-ready design patterns, efficient state management, and modern full-stack development best practices tailored for smart queue systems.
REAL-TIME CHAT APP
Interactive chat application with real-time messaging using Socket.IO and Firebase integration.
MACHINE LEARNING HAND DETECTION
VisionAI is a high-performance, browser-native computer vision platform engineered with TensorFlow.js and MediaPipe for real-time hand, face, and pose recognition—entirely client-side, with zero backend overhead. Architected for rapid inference and seamless interaction, it delivers intelligent detection with exceptional accuracy. Styled with a modern, responsive UI, the system exemplifies modular frontend design, optimized AI pipelines, and edge computing, highlighting robust JavaScript architecture and cutting-edge web-based deep learning capabilities.
MINI PROJECTS
CODE & CHESS
MY PARALLEL PASSIONS
"In chess, as in programming, every move matters. Both require strategic thinking, pattern recognition, and the ability to see several steps ahead."
RESUME
RESUMEBachelors in Technology (Engineering)
2024 - 2028Currently pursuing Bachelor of Technology from Madan Moan Malviya University of Technology
12th Grade (PCM)
202284% Aggregate - Physics, Chemistry, Mathematics
10th Grade
202192% Aggregate - All subjects
GET IN TOUCH
LET'S CONNECT
I'm always open to discussing new opportunities, collaborating on interesting projects, or just having a chat about technology, competitive programming, or chess. Feel free to reach out!