MS Computer Science @ UC Davis · ML Systems · Data Engineering · Production Deployment
I build systems that ship. My offer letter automation is actively used by the UC Davis CS dept — 95% faster processing, 200+ tests. I work across the stack: Python data pipelines, Go HTTP servers, vector search, and LLM-powered applications.
GGCS Offer Generation System (UC Davis CS — Internal)
Automated graduate funding offer letter generation for UC Davis CS. Handles financial calculations across 3 offer types, batch document generation for 30+ students, and residency matching. Built and deployed solo; actively used in production.
Python · 200+ tests · ~90% coverage · 95% faster processing
LightServe
High-performance ML inference server. Python core handles quantization, operator fusion, KV caching, and SIMD kernels. Go HTTP/gRPC front-end with dynamic batching, Redis result caching, and Kubernetes deployment.
Python · Go · Redis · Docker/K8s · Prometheus + Grafana
VectorBench
Local vector DB benchmarking platform. Semantic search, P95 latency metrics, accuracy verification against NumPy baseline, and a web interface.
Python · FastAPI · sentence-transformers · SQLite
 |
 |
 |
 |
 |
 |
 |
 |
 |
 |
 |
 |
 |
 |
 |
 |
 |
 |
 |
 |
 |
