Computer Science Graduate · Research Assistant · Applied AI Developer
I am a Computer Science graduate and Research Assistant working at the intersection of Artificial Intelligence, Machine Learning, Computer Vision, and Applied Deep Learning.
My work focuses on building practical AI systems for real-world problems, including medical imaging, healthcare AI, agriculture, assistive technology, lightweight deep learning, and explainable AI.
I enjoy research, implementation, experimentation, and participating in international hackathons where I collaborate with diverse teams and build fast, meaningful prototypes.
- Computer Vision
- AI in Healthcare and Medical Imaging
- Explainable and Reliable AI
- Lightweight and Efficient AI Models
- Applied AI for Agriculture and Social Impact
- Data-Driven Systems and Research Computing
- Gait, movement, and intelligent sensing systems
- 🥉 3rd Place, HackHub 2025 by SparkHub — Exam Companion
- 🚀 NASA Space Apps Challenge 2025 — Exoplanet Hunter
- 🌱 Co-Creating with GPT-5 by Lablab.ai — Eco Mentor
- 🧩 Harvard CS50x Puzzle Day 2026 — solved 10/10 puzzles with team
- 🏆 Meta Hacker Cup 2025 — Top 5% globally, 8th nationally
- 🏆 Ranked 40 - UCLA Code Sprint.
- Judge and Mentor — HEC Generative AI Training Hackathon
- Judge — Student HackPad 2025
- Judge — HealTech Innovators Hackathon 2025
- Trainer and Moderator — ICodeGuru
- Workshop Speaker — Transformers, LLMs, YOLO, and NASA Space Apps
Email · LinkedIn · GitHub · Website
Open to research collaboration, academic projects, mentoring, and technical work in Computer Science.