Featured Work
These are the projects that best represent how I approach engineering problems: with a mix of product thinking, technical depth, and attention to user experience.
AI System / RAG Pipeline
Production-level RAG system over UC Berkeley's STEM course catalog combining a Neo4j prerequisite knowledge graph with hybrid semantic retrieval. Reverse engineered Berkeley's internal course API to ingest 946 courses and 799 prerequisite relationships, with a LangGraph multi-hop agent in development.
Client Website / Full Stack
Designed and built a modern website for a hazardous materials services company with a polished frontend, service-focused structure, and a database-backed contact workflow.
API Security / Backend Systems
Built a security-focused API gateway that inspects incoming requests, applies rule-based checks, logs suspicious activity, and returns structured responses through a clean backend architecture.
AI / Retrieval System Design
Designed an SDS-focused AI assistant for chemical safety workflows using structured document ingestion, metadata extraction, retrieval pipelines, and safe-response design.
Additional Work
A smaller set of projects that show coursework, experimentation, and technical curiosity across different areas of software.
Applied search, inference, and reinforcement learning concepts through hands-on artificial intelligence coursework.
Implemented rasterization, transformations, texture mapping, and other graphics fundamentals in a custom rendering pipeline.
Explored desktop application development with Electron, React, and Vite in a privacy-focused media project.