I build Android apps and AI-powered tools that turn ambitious ideas into working software — from cross-platform productivity systems to retrieval-augmented AI assistants.
I build Android apps and AI-powered tools that solve real problems. From a cross-platform voice-controlled productivity ecosystem spanning Android and Windows, to an AI health assistant that analyzes symptoms and surfaces emergency guidance — my projects are focused on making technology feel useful, not just functional.
I'm a final-year CSE student at LPU specializing in Machine Learning, with hands-on experience across Kotlin, Python, React, and Firebase. I've shipped projects across mobile, desktop, and web — and I'm comfortable working across the full stack when the problem demands it.
Currently looking for opportunities where I can build things that matter, work with people who care about quality, and keep growing fast.
A state-based online multiplayer board game adapted into a digital application with anonymous authentication, Firebase Realtime Database, custom graphics, and smooth gameplay.
Connects Android and Windows Desktop apps with real-time task synchronization, secure device pairing via Google Authentication, and voice-powered command execution including app control, search, and system management.
Analyzes user symptoms to provide basic health awareness, preventive tips, and emergency assistance — helping users understand possible conditions while promoting informed health decisions.
A production-style RAG system built with FastAPI and React for intelligent PDF understanding. Implements hybrid Dense + Sparse retrieval, Reciprocal Rank Fusion, Cross-Encoder reranking, and grounded Gemini-based response generation.
A full-stack GitHub repository analytics platform combining rule-based metrics and AI-powered insights to evaluate repository health, risk, consistency, and long-term evolution.
A call-enhancement app with mood analysis that improves the user experience during phone calls.
A system that performs real-time face recognition using the KNN algorithm and the OpenCV library.
Specialization in Machine Learning · Lovely Professional University
2022 – 2026 (Expected)Pursuing a comprehensive degree with focus on programming fundamentals, data structures, algorithms, machine learning, and software development.
