I've built production CRM services at Next Page Technologies and automation and reporting solutions for Heartland Community Network, translating operational requirements into maintainable systems.
My work spans LLM agent pipelines, retrieval-augmented generation, vector search, prompt engineering, and Python/FastAPI backend infrastructure. I focus on evaluated AI systems that improve latency, cost, retrieval quality, and real-world adoption.
In NoteKit, I built a grounded RAG learning platform that achieved 95.3% claim faithfulness, reduced first-response latency by 65%, and lowered quiz-enabled course cost by 48%.
I've also built an autonomous bill-negotiation agent, a distributed graph-processing benchmark engine, and an edge AI vision system, alongside automated inventory and ETL reporting pipelines for Indiana University Dining.
