Work
Production AI systems, a documented method, and the pipeline behind them.
Three client builds and the site you’re reading. Where a metric or screenshot is still pending, it says so — nothing here is invented.
RAG chatbot for a multi-tenant payments SaaS, built and validated, scheduled to deploy in a few months — hybrid retrieval, PII scrubbed before the model.
AI Engineer — sole AI engineer at IDEA; I designed, built and lead the production RAG platform powering two live assistants (HR and electrical-engineering-rules).
Production multi-agent system on Semantic Kernel — Text-to-SQL, document and SharePoint tools, permission-aware.
Personal portfolio built with Claude Design and Claude Code, on a free stack — exhibit A of the method.
Nothing shipped under that filter yet — the rest of the road is in Next up.
HYPOTHESIS: An app shaped around one learner’s real friction beats a generic app shaped around the average user’s assumed friction — built for how I actually study Vietnamese, integrating listening, reading, and active recall in a single flow.
HYPOTHESIS: A reader agent ingests YouTube videos and LinkedIn reposts into a structured wiki vault; a manager agent then updates, corrects, links, and prunes entries as the field moves. A maintained knowledge base beats an ever-growing bookmark pile.
HYPOTHESIS: A curated, version-controlled collection of the Claude skills, prompt harnesses, and evaluation patterns proven useful across real builds. Each entry is named, tested and reusable. Formalising what works once means every future project starts one level higher.