Software Engineer
I build full-stack applications, ML systems, and edge-deployed AI — from mobile apps to fine-tuned models to real-time computer vision.
Selected Projects
A full-stack mobile app that scores used car listings to surface real deals. Type in a car's details in plain text and get a data-driven value score back — powered by a neural network, an NLP parsing pipeline, and a live database fed by a web scraper.
A fine-tuned medical chatbot built on Qwen3-8B with a full-stack web interface. Trained via supervised fine-tuning on a Kaggle medical Q&A dataset, quantized with AutoAWQ for efficient inference, and served through a Python backend tunneled via Ngrok.
Real-time raccoon and rodent detection using lightweight YOLO models, deployed on edge hardware. Trained and compared YOLOv8n, YOLOv11n, and YOLOv11m across two custom datasets, stress-tested with synthetic augmentations, and deployed to a Raspberry Pi and desktop via a React dashboard.
A top-down wave shooter built in Python and Pygame ported to HTML+JS. Dodge and shoot endless waves of escalating ghosts, collect 8 powerups, and survive as long as possible. Playable right here in the browser — no download needed.
About
I'm a software engineer interested in the intersection of AI, full-stack development, and systems that run close to the hardware. I like building things end-to-end — from training models to shipping the interface people actually use.
Right now I'm focused on bringing Car Score Predictor to a commercial release, and continuing to explore edge AI and on-device inference.