I'm an AI Engineer who enjoys understanding how systems behave beneath the abstraction layer.
My interests sit around LLM systems, backend engineering, developer tooling, and production AI. I like reading unfamiliar codebases, reproducing real bugs, tracing them to their root cause, and turning that understanding into small, focused, well-tested fixes.
Right now, I'm intentionally spending more time contributing upstream, in whatever stack the bug lives in.
Merged pull requests only, most prominent upstreams first. Refreshed automatically from GitHub.
Projects where my patches actually landed — concrete merges into high-profile repositories, plus the upstreams I've contributed to most.
High-profile projects
- zeroclaw-labs/zeroclaw ★ 32.8k — fix(daemon): serialize lifecycle tests against the log broadcast
- confident-ai/deepeval ★ 18.3k — fix(g-eval): use final score token for logprob weighting
- vitalik/django-ninja ★ 9.2k — fix: avoid duplicate async authentication calls
- kellyjonbrazil/jc ★ 8.7k — Fix http-headers crash on whitespace-only lines
- pdm-project/pdm ★ 8.7k — fix: export editable local dependencies with relative paths
- django-oscar/django-oscar ★ 6.6k — Fix voucher set usage sorting
Most merges
- wingfoil-io/wingfoil — ★ 223 · 5 PRs merged
- CS-SI/eodag — ★ 434 · 4 PRs merged
- Hebbian-Robotics/hflow — ★ 272 · 4 PRs merged
- vitalik/django-ninja — ★ 9.2k · 3 PRs merged
- warmbly/warmbly — ★ 296 · 3 PRs merged
- kellyjonbrazil/jc — ★ 8.7k · 2 PRs merged
- pdm-project/pdm — ★ 8.7k · 2 PRs merged
- libredb/libredb-studio — ★ 795 · 2 PRs merged
The newest merge in each high-profile project, plus every repository where I've landed more than one patch. Kept up to date automatically by GitHub Actions.
Longer write-ups of a few of these fixes: oss-case-studies.
Note
I'm currently focusing on real issues in established open-source projects: bug fixes, regressions, edge cases, tests, and framework internals.
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