Highlights
Contribution beyond the day job: conference talks, hackathon judging, peer review and artifact evaluation, and mentoring across the engineering and AI community.
33 entries
Judged the 6th Global AI Hackathon, Hack-Nation's largest to date (5,500+ applications, some 2,500 builders across 12 hubs), run with the MIT Club of Northern California and the MIT Club of Germany. Scored seven projects on the jury.
Reviewer for GroundLM 2026, the workshop on grounding and retrieval-augmented language models at EMNLP 2026 (Budapest, Hungary).
Artifact evaluator for ASE 2026 (IEEE/ACM International Conference on Automated Software Engineering).
AI Engineer World's Fair 2026 talk: your coding agent is creating review debt, the accumulating gap between the code an agent produces and the code humans have actually reviewed, trusted, and understood. Five signal families and ten deterministic checks turn that gap into a single defensible score, validated across 524 real pull requests.
Agents are in production and doing privileged things, but the guardrails did not arrive with them. This PlatformCon talk lays out a Java and Spring Boot pattern that makes an agent quote a versioned tool contract before any tool runs, with a gateway that validates, governs, and audits every call.
A three-layer evaluation framework in Java + LangChain4j for AI-agent trust testing: policy compliance, judge-based answer safety, and tool-trajectory validation, wired into CI as a build-time gate.
Judged Day-Zero: Agents in the Wild, an adversarial agent field test presented by Efficient Frontier Labs (Oakland, CA).
Generating working MCP servers straight from the OpenAPI specs you already have: the mechanical field mapping, why it takes a library and not a script, the production traps, and the guardrails to set before an agent touches real users.
Peer reviewer for the Trustworthy AI for Good (AI4GOOD) workshop at ICML 2026.
Judged the Google I/O kickoff pre-World Cup hack (San Francisco).
