AI systems, autonomous agents, and Physical AI — local-first, practical intelligence.
I build agent systems that can act with real capability without handing the agent, or an attacker who compromises it, unrestricted power. Most of my time goes into authority and safety architecture for autonomous agents, and into upstream fixes for the open-source tools I build on.
- NVIDIA CUDA-Q · #5459: documented
exp_pauli,givens_rotationandfermionic_swap, and fixed a sign error in theapplyExpPaulidoc comment that every simulator backend inherits. Verified numerically against the gate sequences CUDA-Q executes. - NVIDIA CUDA-Q · #5609: documented how custom operations take
qvectortargets in Python vs C++. Its review led CUDA-Q's architect to state the language's operation-overload rules (later applied in #5652). - NVIDIA CDF Simulation · #8: Surface Evolver tests now skip, instead of erroring, when the solver is registered but its binary is missing. Verified with the repo's own CI runner and skip policy.
- AgentKit · #71:
x-/X-extension fields in the Agentkitfile, so values can be defined once and reused through YAML anchors.
Filed at the CUDA-Q architect's request: Python bridge bugs #5646 and #5647, the latter now fixed on main.
|
Sentinel |
Capgate |
|
Agent-Skills-Compendium |
QUANTUM-CUDA |
| Project | Contribution | Status |
|---|---|---|
| NVIDIA CUDA-Q | Fixed the custom KrausChannel example under cudaq.apply_noise, which crashes as printed |
|
| Made the Observe examples on "Executing Kernels" runnable on their own | ||
| "Building Kernels" shows the state each example prepares instead of a bare call | ||
| Single-target broadcast for custom operations, plain and adjoint, under rules confirmed by CUDA-Q's architect; verified on the real runtime | ||
| AgentKit | Every Agentkitfile validation error names its file and line, with a BuildKit source snippet | |
| Microsoft Agent Governance Toolkit | A 240-scenario red-team suite that scores real detector catch/miss rates on prompt-injection probes | |
| guardrail | docker_container_guard: blocks docker run/create flags that break container isolation |
|
| RepoLens | A --schema flag exporting the JSON Schema of the machine-readable report |
- Verify, don't transcribe. Every claim in a PR is checked against what the code actually does, using the real runtime, a reproducer, or a numerical check, and the script goes into the repo.
- Small, reviewable changes. One concern per PR, history traced through the linked issues, and open questions left to the maintainers instead of settled unilaterally.
- Honest scope. What I couldn't verify is stated in the PR, not glossed over.
- Designing authority boundaries for agents: deny-by-default policy, non-transitive delegation, tamper-evident audit.
- Contributing to NVIDIA CUDA-Q: docs and Python bridge fixes, each verified against the real runtime.
- Exploring Physical AI data pipelines and agent tooling.
Agent authority & permission boundaries · Multi-agent governance · Skill composition · Physical AI · Local-first AI


