End-to-end ownership.

Building and operating production legal-AI systems across document intelligence, agent infrastructure, evaluation, reliability, security, and observability.

• 01

  Build durable workflows for multimodal document understanding, retrieval, provenance, and downstream agents.

• 02

  Design tracing, replay, and recovery infrastructure for distributed multi-agent execution.

• 03

  Lead security and auditability work across application, data, and cloud layers.

• 04

  Own systems from architecture and implementation through launch, incident response, and ongoing operation.

Built the AI catalog and discovery stack end to end—from heterogeneous supplier sites and render-ready materials to multimodal retrieval and the production design agent.

• 01

  Originated and owned nearly all of the ingestion and PBR platform core, converting unstable supplier pages into reviewed, production-ready catalog records.

• 02

  Built a hybrid material pipeline in which multimodal reasoning produced explicit physical parameters and deterministic OpenCV generated the final rendering maps.

• 03

  Built multimodal retrieval, domain-aware reranking, and event-driven catalog synchronization for a customer-facing design agent.

• 04

  Established the evaluation, tracing, quality-control, and model-routing systems used to improve latency, acceptance, cost, and operational reliability.