Developed an automated testing framework in C++ and Python to generate ROSbag data for TÜV certification.
Built a data processing pipeline using AWS CDK to curate testing results and support ML model validation.
Deployed telemetry processing microservices via AWS Lambda, EFS, and S3 within internal CI/CD systems.
Created UR10-based sensor alignment system using OptiTrack feedback for precise lab calibration.
Designed and implemented a WebSocket server for real-time robot telemetry streaming to Foxglove Studio.
Integrated RealSense, Velodyne, and SICK LiDAR as microservices for the unit test platform; used NanoTec motors and IP-Cams to orchestrate test scenarios.
Customized Foxglove Studio layout and UI using React Bootstrap for visual inspection and validation.