I am a final-year B.Tech CSE student, an active open-source contributor, and a builder of high-performance systems. I engineer for scale and efficiency, whether that means optimizing LLM inference, architecting offline-first mobile ecosystems, or rewriting native C++ Android libraries.
🚀 What I'm building & contributing to: 📱 Naivety: Founder & Lead Android Engineer of a production-grade e-reader ecosystem. Scaled to 1,000+ active users across 80+ countries with a verified 99.9% crash-free rate. I forked and rewrote native C++ rendering libraries to enforce 16KB page-size alignment for Android 15 kernel compliance.
🤖 Unagi: Fine-tuned a Falcon3-7B-Instruct LLM using QLoRA adapters and 4-bit quantization, deployed on a FastAPI backend and Next.js proxy frontend. This content engine has generated over 110,000+ impressions.
🏆 Algorithmic Problem Solving: Codeforces Specialist (1540+ rating, Top 7% globally), maintaining a rigorous foundation in Data Structures and Algorithms.
My technical stack spans Mobile (Kotlin/Jetpack Compose), Web (Next.js/React/Node/Tailwind), and AI/ML (PyTorch/LLM Fine-tuning). I love fast feedback loops, extreme ownership, and tackling the hard technical problems others avoid. Always looking for the next problem worth solving.
