Projects
A selection spanning applied AI, full‑stack systems, and product engineering. Each project displays different constraints, tradeoffs, and learning moments.
RetiNova
A hackathon-winning healthcare application that detects eye conditions using computer vision, integrating model inference into a real, user-facing product. I focused on system integration including ML inference to frontend delivery, challenging under tight time constraints.
BeesEye @ Human Proximity
A real-time networking platform for in-person events, built around proximity-aware interactions. I designed and implemented the backend APIs and AI microservices powering matchmaking, messaging, and event logic.
NLP Bias Detection
An NLP system for detecting bias in large-scale social datasets, built by preprocessing tens of thousands of samples and fine-tuning transformer models. I worked across data pipelines, model training, and deployment to make the system usable end-to-end.
Grad-CAM Tumor Classification
An applied computer vision study using CNNs and ResNet models to classify brain tumors from CT and MRI scans, with Grad-CAM used to evaluate model interpretability and clinical trustworthiness. This project was a final project for the CS 184A Course at UC Irvine.