I build AI systems that ship: LLM agents, RAG pipelines, and ML infrastructure. 8 open-source PRs merged into onnxruntime, onnx, burn, dora, vLLM, axolotl, inspect-robots, and the MCP Rust SDK. MS CS @ University of Cincinnati — open to AI/ML and full-stack roles.
Merged
- vllm-project/vllm#57743 — reject
json_objectat validation in the outlines grammar backend - modelcontextprotocol/rust-sdk#1275 — standard-header validation now runs on the initialize path before session creation
- onnx/onnx#8473 — fixed reversed gradient direction in the TrainingInfoProto comment
- dora-rs/dora#3500 — fixed ros2-bridge serializing omitted variable-length sequence fields as non-empty defaults
- microsoft/onnxruntime#32588 — moved
kCutlassSafeMaskFilterValueoutsideUSE_MEMORY_EFFICIENT_ATTENTION - tracel-ai/burn#5664 — fixed burn-store's PyTorch reader dropping tensors stored inside lists
- axolotl-ai-cloud/axolotl#4048 — fixed
axolotl trainrejecting HTTPS config URLs the CLI docs say are supported - dora-rs/dora#3515 — credited contributor: flagged edge cases in
dora newname validation, implemented and merged with credit - robocurve/inspect-robots#450 — warn when no scene completed cleanly instead of reporting a silent success
