Migrated ROS1 codebase to ROS2, refactoring C++, Python, CMake, and XML; integrated ABB robots and Ensenso cameras.

Enhanced GitHub release workflows using Ansible to support ROS2 deployment pipelines.

Built multi-stage Docker images to deploy ROS2 and supporting services across production environments.

Automated C++ code migration using Clang-based parsing and analysis tools.

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.

Robot Induction Station Development — Using Universal Robot

Robot Induction Station Development — Using ABB Robot