MS Robotics & Autonomous Systems (AI) @ Arizona State University — Dec 2027
BS Computer Science @ ASU — Dec 2026
I build systems that make software behavior observable and measurable —
static analysis, runtime tracing, real-time backends — and I'm now applying the same discipline to robot learning.
- typescript-eslint — two merged fixes for
no-unnecessary-type-assertionfalse positives (#12278, #12281), one more in review - refined-github — restored
esc-to-cancelon pull request pages (#9280)
- typing-race — real-time multiplayer typing races on Cloudflare Workers + Durable Objects: server-owned room state, reconnects, spectators, k6 load tests. Live · analytics
- any-map — static flow analysis for TypeScript
any: traces where it originates, ranks blast radius, gates PRs with SARIF. npm - installsentry — replays npm installs in a sandbox and records what lifecycle scripts actually did: file, network, and canary-secret access. Threat model
- apibump — Rust CLI + GitHub Action for semantic public-API breakage checks in Python packages, dogfooded against forks of PyJWT and tomlkit. crates.io
More in the repos: glint (Rust/Tauri tray overlay for live AI coding sessions), sentinelflow (dependency-risk control plane), appledger (Windows app activity attribution), subsurface (subtitle-intercepting Chrome extension).
Ramping on the robot learning stack — LeRobot, MuJoCo, LIBERO — and building toward a cross-policy evaluation harness for manipulation policies (ACT, Diffusion Policy, SmolVLA): success rates with confidence intervals, failure taxonomies, and latency profiles instead of demo videos.

