Tracking workspace for my open-source contributions across ML systems and program-analysis tooling, adjacent to my research.
Nineteen merged. The In review table lists a selection of the open pull requests rather than all of them. In both tables, each entry in the "What I fixed" column links to its full writeup in contributions/.
| Project | Issue | What I fixed | Pull request | Status |
|---|---|---|---|---|
| pytorch/executorch | self-sourced | Portable kernels indexed by row-major arithmetic instead of the tensor's real strides | #21828 | Cadence owner has no objection, needs a rebase. |
| astral-sh/uv | #7035 | No hint when a build failure is caused by a requires-python mismatch |
#19673 | Reworked onto the maintainer's refactor, awaiting review. |
| Project | Issue | What I reported | Status |
|---|---|---|---|
| huggingface/transformers | #47487 | CodeLlama tokenizer dropped leading whitespace on decode, refiled with a fresh reproduction after #46491 was stale-closed | My #47488 merged, then reverted by #47861 in favour of a decoder-only fix in #47862, still open. |
| huggingface/transformers | #46489 | DeepSeek-Coder v1 tokenizer produced wrong output on v5 and later, a gap left by PR #44801 | Resolved by upstream #46091, issue closed. |
Each file in contributions/ follows the same structure, so any entry can be read end to end without context:
- The issue: why I picked it, what was wrong, how I checked it was still available, the specific files involved, and what I decided would count as done.
- Diagnosis and plan: environment setup with the concrete obstacles I hit, numbered reproduction steps, expected versus actual behavior, the root cause, and the plan I worked to.
- Implementation: commit hashes and dates, files changed with line counts, what turned out to be hard, and what was tested manually and automatically.
- Review and outcome: the pull request, a dated log of maintainer feedback and how I responded, and what I learned about the problem, the collaboration, and what I would do differently.