Computer Science Engineer specialising in Machine Learning, Full-Stack Development & Algorithm Design.
I'm a third-year Computer Science Engineering student at Lovely Professional University, building intelligent software systems that sit at the intersection of research and real-world deployment.
"From training 8M-parameter LSTMs to shipping FastAPI production endpoints — I care about the full journey."
My work spans deep learning, NLP, full-stack web development, and desktop tooling. I'm drawn to hard problems that require both algorithmic thinking and polished engineering.
Currently looking for internship and collaboration opportunities where I can contribute to meaningful projects and grow alongside sharp people.
Hybrid spell correction combining Edit-Distance and Neural Seq2Seq with Bahdanau Attention, achieving 75–80% accuracy.
Rule-based system for identifying crop pests & suggesting remedies with Gemini API backend.
Desktop app for real-time system resource monitoring with built-in process manager.
Web-based interactive traffic route optimization with Leaflet.js map visualization.
Real-time stock market analysis and insights bot with financial data API integrations.
"Hands-on industry training translating algorithms into real-world systems."
Advanced Data Structures & Algorithms — arrays, linked lists, stacks, queues, hash tables, trees, graphs, sorting, searching, recursion, dynamic programming, and graph traversal. Built a SmartTrafficRouteOptimizer as a capstone project.
"Open to internships, collaborations & opportunities where good engineering meets real impact."