What I shipped, and what it changed. Every figure below is documented in the linked case study; client-specific figures are never approximated.
Delivered agentic KYC corroboration workflows in a regulated environment
Source of Wealth / Source of Funds analysis combining structured banking data, external evidence and tool integration — LangChain/LangGraph orchestration with end-to-end traceability and human review, advanced to pre-production.
Delivered an autonomous multi-agent trading system under strict risk governance
Architecture separating probabilistic reasoning (18 AI agents) from deterministic execution — no order passes without the risk engine, hard kill switch has priority over everything. Paper validation before any real capital.
Led production LLM evaluation infrastructure in a regulated environment
From internal prototype to a platform the team can operate: enterprise SSO, reproducible GitOps deployments, auditable execution — delivered through the security gate with zero critical CVEs.
Progressed enterprise conversational AI (Copilot Studio) from POC toward production
Secure authentication, controlled Power Automate ingestion, Dataverse integration within the existing governance frame, and reusable delivery patterns — in a regulated environment.
Directed a zero-downtime platform migration off a proprietary vendor
Multi-agency EU platform moved from Base44 to a Supabase + Cloudflare stack with progressive DNS cutover — no service interruption, no lost email, full stack ownership regained.