Systems engineer working across runtimes, distributed infrastructure, reliability, and security.
runtime behavior
systems correctness
failure semantics
performance
I work on the parts of software where behavior becomes difficult to reason about: compatibility boundaries, concurrency, resource accounting, authorization, failure recovery, and the gap between an interface's promise and its runtime behavior.
My public work is mostly upstream engineering. I reproduce the condition, find the violated invariant, make the narrowest defensible change, and leave behind tests that explain why the behavior matters.
| Project | Change | Engineering result |
|---|---|---|
| Apache DataFusion | Reduce record-batch memory accounting overhead | Removed repeated Arrow accounting work while preserving view-array and shared-buffer correctness. Merged. |
| Supabase Realtime | Check extension write policies lazily | Preserved explicit Broadcast and Presence authorization without performing unrelated extension reads. Merged. |
| NASA F´ | Add a parameter validation macro | Centralized four-state parameter-validity semantics across the C++ framework API and its tests. Merged. |
| Apache Hudi | Reject unsupported procedure filter functions | Converted invalid Spark procedure filters into explicit validation failures with focused coverage. Merged. |
| Google gVisor | Return ESPIPE for positional PTY I/O |
Matched Linux VFS and devpts behavior with syscall and filesystem regression coverage. Approved. |
| pyasn1 | Reject bare constructed schemas | Tightened constructed-type validation and added regression coverage across the affected schema paths. Merged. |
Additional contributions span aiohttp, typeshed, Click, Apache Sedona, Sentry CLI, and other established projects.
|
Systems Linux semantics, runtimes, filesystems, memory, concurrency, compilers, and native interfaces. |
Distributed software Networking, realtime systems, service boundaries, authorization, observability, and recovery. |
Engineering assurance Reproducible tests, explicit invariants, security boundaries, performance evidence, and deterministic tooling. |
reproduce → isolate → understand the invariant → change narrowly → prove it
Rust · C++ · Go · Elixir · Python · Java · TypeScript