Computer science student at UC San Diego. Upstream contributor with 230+ merged pull requests across Microsoft, NVIDIA, and open-source runtimes. Focused on distributed ML systems, numerical correctness, OS interoperability, and deterministic data infrastructure.
In summer 2026, I was a data analyst intern at Shell Kuwait, building a Python tool that validated daily production spreadsheets into checked reports.
Resume · Portfolio · LinkedIn · Email
Also merged at tox, pdm, mcp-use, pywin32, and MindsDB, among others.
| Project | What I built | Explore |
|---|---|---|
| OmanX | Sourced compliance guidance platform for Omani scholarship students abroad, powered by Anthropic Claude. | Platform |
| ProofX | Number-theory experiments with seeded, replayable search ledgers and bounded Lean 4 formal checks. | Research |
| Ridge | Spreadsheet analysis computing statistics and data-quality evidence deterministically before optional model interpretation. | Source · Demo |
| Switchyard | Multi-agent coordination CLI with isolated Git worktrees, pre-merge collision detection, and automated token budgeting. | Source · Demo · npm |
- Compiler numerical correctness: microsoft/onnxscript #3027. Fusing BatchNorm into Gemm silently changed model outputs when Gemm used a non-default
beta. Corrected bias scaling and attribute forwarding with parameterized regression tests. - ML distributed systems and quantization: NVIDIA-NeMo/Automodel #4178, #4058. Fixed FP8 emulation flags for rowwise quantization recipes and mapped FSDP expert shards with
torch.chunkmemory layout under context parallelism. - Filesystem events & OS race conditions: watchdog #1204. Renaming
filetoFILEon Windows produced a false deletion event. Filtered redundant native records with file, directory, and genuine-deletion regression cases. - Windows installs & path budget: microsoft/apm #2941. Generated staging names consumed excessive Windows path budget. Shortened staging paths while preserving cleanup headroom and legacy naming formats.
- Network serialization: microsoft/playwright-python #2748. Preserved blank values in
Request.post_data_jsonfor form bodies to prevent payload dropping on downstream API validation.
As of November 2026: 230+ merged upstream pull requests, including 79 at Microsoft and 22 at NVIDIA. Other core contribution records: TypeChat, simple-statistics, watchdog, and QwenLM.
- Deterministic computation first. Models summarize and explain, but numbers, statistics, and signals are computed deterministically.
- Reproducible execution ledgers. Every experiment and backtest records seeds, revisions, and execution traces so outcomes can be replayed and audited.
- Upstream correctness. Defects are solved by reproducing the failure, writing the regression test first, and fitting maintainer constraints.
Activity note: My GitHub contribution graph reflects daily engineering, upstream pull requests, and workspace telemetry from local agent harnesses. I prioritize verifiable upstream merges and reproducible test coverage over raw commit volume.