About
CS graduate student at Stevens Institute of Technology, working across embedded systems, applied machine learning, and mobile development. At the WRS Lab I write firmware for wearable sensing hardware on ESP32 and XIAO MG24 in C/C++ — the kind of low-level work that sits a layer below the model.
Before Stevens I was at Amrita Vishwa Vidyapeetham (ECE), where I spent three years in amFOSS — an open-source collective — mentoring contributors and shipping Flutter projects to real users. That overlap of research, product, and community is still how I think about work.
I’ve shipped across every layer: wearable sensing firmware in C/C++, production Flutter apps with 10K+ downloads, ML pipelines for healthcare and wireless security, and an IEEE-published LoRa signal classifier.
- C / C++
- ESP32
- Python
- PyTorch
- Flutter
- FastAPI
- React
- Next.js
- Firebase
- AWS
Publications
- Detecting, Demodulating, Decoding LoRa
- Transforming Mobility Analysis through Wearable IMU Devices and Deep Learning
Awards
- 1st Place, ClickHouse Track — Agentic Engineering Hackathon
- 1st Place, Chubb Track — Stevens QuackHacks
- Global Nominee & Galactic Impact Award — NASA Space Apps Challenge
- National Finalist (Runner-up) — Kavach Cybersecurity Hackathon, Ministry of India
- Local Impact Award — NASA Space Apps Challenge
Open to full-time and internship roles.
Software development and research — embedded, ML, or full-stack. Based in NYC, open to relocation.