M.Sc. Mechatronics → measurement systems, sensor data, and applied research → observable, human-governed AI agent systems.
I transfer the discipline of measurement — traceability, validation, and explicit limits — into agent-assisted Python and FastAPI workflows. My work focuses on explicit state, persistent knowledge, traceable tool use, verification, and human approval.
Public repositories and case studies show architecture, tests, limits, and failure paths. Operational cores and confidential data remain private.
| Project | What it demonstrates | Status | Limits |
|---|---|---|---|
| DCO Reference | Queue, worker, verification, and an explicit human approval gate | Reference implementation | Synthetic examples; not an export of the private operational system |
| Orchestrated Bridge | Separated roles, persistent state, trace files, validation, workspace-scoped builds, and an explicit acceptance boundary | Working public reference | Deterministic public demo; operational deployments remain private |
| Agent Skill Index | Capability discovery, governance metadata, and privacy-aware indexing | Public tool | Demonstrates the indexing layer, not a complete agent platform |
| Dynamic Workshop | Structured modules, demos, exercises, mentor resources, and a testable playground | Curriculum | Educational material; not a production service |
My path from measurement engineering to AI agent engineering explains how work with sensor data shaped the way I build software systems. The Master's thesis case study shows feature selection, leakage control, sample-level validation, and held-out testing. The reported 98.8% refers only to test balanced accuracy for material discrimination.
- Agent-assisted Python and FastAPI workflows
- Explicit state, memory, and retrieval
- Traceable tool calls, tests, and verification
- Human approval and operational boundaries
- Sensor-data analysis and evaluation methodology
- Controlled agent workflows
- Agent memory and retrieval
- Traceability and observability
- Operating OpenClaw with explicit governance boundaries
I am looking for an early-career role as an Agentic AI Engineer, Applied AI or Machine Learning Engineer, or Data Engineer, in applied research or industry. My background in measurement engineering is most useful where machine learning meets sensor and industrial data, such as predictive maintenance or industrial AI.