ML & Robotics Engineer — I build reliable, end-to-end ML systems for industrial data & physical robots (from datasets to deploy).
- Ship ML pipelines in Python (data prep → training → evaluation → packaging) for real-world signals & vision.
- Bridge AI & robotics/control: trajectory generation, calibration, data tooling for devices.
- Bring software engineering rigor: tests, containers, minimal CI, clear READMEs & quickstarts.
- Communicate results clearly (metrics, demos, diagrams).
Python (pandas, numpy, scikit-learn, TensorFlow) • C++ • MATLAB • C# (Unity) • SQL/MongoDB • Docker • Linux (Ubuntu)
MLOps basics (virtualenv/poetry, Makefile, GitHub Actions) • Visualization (matplotlib, GIF demos)
| Project | Value (1-liner) | Tech | Demo |
|---|---|---|---|
| Exoskeleton High-Level Control | <10% rel. RMSE for hip/knee trajectories via DNN + GPR | Python, ML | coming soon |
| Fingertip ML Data Framework | CAD→MongoDB→Python/MATLAB data pipeline for gripper design | MongoDB, Python, MATLAB | coming soon |
| Advent of Code | Algorithmic discipline & clean parsing/testing | Python | results summary |
| C++ Library Simulation | OOP design, borrowing/return rules, modern C++ refactor | C++ | coming soon |
| Transverse Game Prototype | Unity demo: ECS, multi-scene mgmt, save system & dialogues (team project) | Unity, C# | GIF coming soon |
Now: consolidating ML-for-robotics portfolio (exoskeleton control, CAD/DB tooling).
Next: small MLOps demo (packaged inference) + more AoC solutions.