Work: Security engineering focused on securing authnz at hyperscale in our new agentic reality. What interests me? Agentic engineering, vulnerability discovery at massive scale. Vulnerability remediation at massive scale. Bounding agent non-determinism.

Personal: Local models. Agent harnesses. Track cars, turning wrenches.

Had agents build recently:

- Photo catalog app with all 100K photos in my library described by a local 9B parameter model (it is absolutely amazing and my favorite personal project in terms of genuien impact)

- Generic RAG layer (vector embedding + FTS in SQLite with RRF and document ingestiation layers for 1-2GB knowledge bases to power agent context for stuff I am interested in, neuroscience and philosophy is where I spend time on this right now, and basically every AI research paper publicly available to help agents tinker with local models). This is especially useful for local models, but it even helps frontier models because they can freely churn through without a bunch of web calls and such when you are on a topic thread or research.

- Qwen 3.6 35B A3B clean-up proxy, achieving a clean thinking + tool calling A3B that I can leave running for 24+ hours. This particular model gets stuck in long reasoning chains and needs encouragement to get on with it, especially on context tasks. It actually reasons well but then starts second guessing and loops. Built a deterministic framework to inspect its thinking and make it wrap its thinking up if it gets stuck and also to trigger calls to external models and inject solutions to problems when it gets stuck. The agent sees the solution injected from a remote model like it is its own thinking, kind of a subconscious it has no idea about. Metacognition in models, it is wild.

DSV4->GLM->Kimi is the "phone a friend" external brain pathing I built. As far as I know no one has shared all of the bugs I have 'fixed' in my project and gotten local Qwen A3B this reliable.