CS student at California State University, Sacramento.
Small, sharp tools over big vague ideas. 50k+ users in production.
I build fast, test on real users, and obsess over multimodal AI and local-first systems. Creator of
Cal Plus — an AI nutrition & fitness engine with 50,000+ active users. Currently
engineering autonomous multi-agent pipelines, RAG systems, and distributed architectures.
python typescript javascript react react-native node c++ fastapi firebase docker linux git
calplus.app · react-native, vision-ai, firebase
Production AI calorie tracker & fitness coach on iOS & Android with 50,000+ active users.
Real-time barcode, menu, and meal image recognition with on-device caching.
supabase-agentic-rag-knowledge-engine · next.js, typescript, pgvector, supabase
Production-ready Agentic RAG Knowledge Engine with Next.js 14, pgvector semantic search,
real-time sync, and multi-tenant document retrieval pipelines.
vlm-nutrition-benchmark · python, vision-language-models, evaluation
Benchmarking harness for multimodal Vision-Language Models on real-world food,
macro breakdown, and menu OCR estimation accuracy.
distributed-search-engine · c++, systems, indexing
High-throughput distributed indexing and inverted search engine built in C++
with custom ranking, tokenization, and multi-node query execution.
autonomous-search-agent-rag · python, agentic-rag, search
Self-directed autonomous search & research agent with iterative query reformulation
and hallucination-resistant grounding.
jobify · typescript, node, multi-agent
Open-source autonomous job search pipeline. Zero-token ATS scanner, multi-dimensional
scoring, resume tailoring, and automated workflow tracking.