- π Software Engineer building production AI systems β hybrid retrieval, multi-agent orchestration, and ML pipelines
- π‘ Shipped systems with real production impact: 40%+ retrieval accuracy gains, 90%+ eval pass rates, 100+/week incidents cut to near-zero
- π Focused on LangGraph, RAG architectures, hybrid search, and production ML (LightGBM/XGBoost/CatBoost)
- π MS Computer Science @ UW-Milwaukee
- πΌ Open to Founding Engineer, Applied AI, and Forward-Deployed Engineer roles
- Production RAG pipelines with LangGraph and LangChain
- Multi-agent AI systems and agentic workflows
- Vector databases and semantic search (Pinecone)
- Full-stack development with React, Node.js, FastAPI
- Event-driven architecture with RabbitMQ
- Cloud infrastructure (AWS, Azure) and Docker/Kubernetes





