I am a self-taught AI engineer and full-stack developer focused on building reliable LLM applications, agent systems, evaluation pipelines, and retrieval-augmented generation products.
I design and ship production-ready software end to end, from research and architecture through implementation, testing, security review, deployment, and ongoing operations. My work emphasizes practical workflows, measurable quality gates, and honest evaluation.
I have built multi-tenant agent platforms with specialized agents, tool calling, vector memory, multi-provider LLM failover, real-time communication, and knowledge-base ingestion. I also develop MCP servers and computer-use automation systems.
I care deeply about AI reliability and safety. I have designed citation-verification systems using diverse model panels and external ground truth, along with reproducible evaluation scripts, adversarial test sets, and fail-safe decision rules.
My full-stack experience includes TypeScript, Python, React, Next.js, Node.js, SQL databases, authentication, cloud deployment, Docker, and automated QA. I bring operational discipline from film production and long-haul logistics to turn ambiguous real-world requirements into tested, deployed products.
I am the founder and sole engineer behind an independent studio that has delivered applications for business operations, finance, film production, food service, asset tracking, and workflow automation.
