About
I build software for systems that need to survive real execution: robotics simulation, CI reliability, ML evaluation, and data infrastructure. I care about tight feedback loops, reproducible proof, and debugging from logs instead of assumptions.
Recent work includes an upstream openpilot MetaDrive CI PR with 20 consecutive full workflow passes, a ROS2/C++ robotics data-capture prototype, and open-source document AI work through GSoC 2025. I am completing concurrent Computer Science and AI degrees at Oklahoma Christian University.
Current Focus
- openpilot MetaDrive CI - Linux GitHub Actions simulator coverage, CI-scoped reliability fixes, log artifacts, and 20/20 consecutive workflow proof on the submitted PR.
- Memory-augmented agents — ReAct with 4 memory modes, needle-in-haystack evals showing 0% to 100% retrieval recovery.
- Document AI — GSoC 2025. Layout detection, OCR, and post-correction on Renaissance manuscripts.
- Data infrastructure - Distributed MinIO + LakeFS for reproducible ML experiments.
- Biomedical NLP — Token-level and span-level clinical concept extraction benchmarks.
Other Work
- ArtExtract — CNN-RNN artwork classification.
- ISSR — Crisis detection via NLP and geospatial signals.
- MediSync — Health records platform.
- AgriFinance — Credit scoring for smallholder farmers.
- ConnectFarm — Agricultural marketplace.
- CampusBuddy — Campus events app.
- G1 Humanoid RL — Dynamic locomotion in MuJoCo.
- Swarm Simulator — Multi-agent flocking and formation.
- Custom PyMyCobot — Leader-follower control for data collection.
Stack
Python, C++, SQL, TypeScript. PyTorch, Transformers, OpenCV, ROS2, Docker, GitHub Actions, MinIO, LakeFS, PostgreSQL.