Led the creation of scalable observability frameworks to trace human and agent interactions in AI systems. Focus on architecture and solution design.

Developed hyper-observability and quality control products for RLVR environments; defined LLM-friendly observability standards.

Oversaw delivery of RLVR environments and managed relationships with frontier labs clients. Led RLHF and solution deployment.

Led forward-deployed engineering teams for major clients (Anthropic, GDM, Amazon); managed RLHF team.

Built real-time AI tooling, data de-identification pipelines, and security-first solutions using PostgreSQL RLS.

Designed architecture and led AI pipeline development, including MCP server and LLM post-training.