Machine Learning & Android Developer
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 cross-platform productivity ecosystem connecting Android and Windows Desktop applications with real-time task synchronization, secure device pairing via Google Authentication, and voice-powered command execution including app control, search, and system management.
An AI-powered Android application that analyzes user symptoms to provide basic health awareness, preventive tips, and emergency assistance. Designed to help users understand possible conditions while promoting informed health decisions.
A full-stack GitHub repository analytics platform that combines 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 enhances user experience during phone calls.
A system that performs real-time face recognition using KNN algorithm and OpenCV library.
Specialization in Machine Learning
2022 - 2026 (Expected)
Pursuing a comprehensive degree with focus on programming fundamentals, data structures, algorithms, machine learning, and software development.