M.Eng. Student · Software Engineer
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. This mechanism is 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 Qwen-8B, designed to simplify complex medical jargon for older patients. Fine-tuned using SFT and LoRA on 20,000 doctor-patient dialogues, accelerated with vLLM and AWQ quantization, and evaluated with a 48.5 SARI score and a 4.5/5 usability rating.
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 in the browser.
About
I'm an aspiring software engineer and M.Eng. student at Virginia Tech, developing solutions with an actual purpose. My recent work reflects my interest in making AI more lightweight and accessible across a larger number of consumers. I'm focusing on developing full-stack applications and systems that run close to hardware, from training models to shipping interfaces for specific user needs.