Calisthenics
Hamdy Khfagy
Hamburg
Summary
Information Engineering Graduate with expertise in autonomous driving perception and real-time sensor fusion. Proficient in C++, ROS1/ROS2, SLAM, and Localization, demonstrating hands-on experience in developing advanced algorithms. Committed to leveraging technical skills to enhance vehicle autonomy and safety. Proven ability to collaborate effectively in multidisciplinary teams to achieve project goals.
Overview
4
4
years of professional experience
2
2
Certifications
3
3
Languages
Work History
Working Student - Reference Algorithms Developer
MicroVision GmbH
02.2025 - 11.2025
- Developed automated testing for visualization software, enhancing reliability and regression coverage.
- Built maintainable Squish-based test library to validate Qt application functionality.
- Initiated requirements meetings to improve cross-team communication.
- Led progress discussions to enhance feedback loops.
Reference Algorithms Developer (Mandatory Internship)
MicroVision GmbH
08.2024 - 01.2025
- Enhanced lane-accuracy validation software to detect small obstacles effectively.
- Applied geometric algorithms for LiDAR coordinate alignment with the validation setup.
- Validated small-obstacle detections up to 150 m from perception team, achieving 1.2 cm error analysis.
- Planned and presented development milestones and progress updates to algorithm team.
Working Student - C++ Developer
Ibeo Automotive Systems
05.2022 - 07.2024
- Developed maintainable C++17/20 modules utilizing Ibeo SDK for perception and validation pipelines.
- Enhanced offline static-environment detection algorithms to support labeling and KPI evaluation.
- Optimized dynamic-object interpolation, LiDAR-camera projections, and scan-matching processes.
- Integrated traffic-light and signal detection into the core production stack from recognition to visualization
Point Cloud Data Scientist (Voluntary Internship)
Teraki GmbH
10.2021 - 04.2022
- Processed LiDAR and GPS data for visualization and debugging using C++, Python, and ROS.
- Tuned offline SLAM parameters to produce stable maps and trajectories from sensor inputs.
- Integrated GPS and LiDAR localization with an Unscented Kalman Filter to minimize drift.
- Resolved timestamp synchronization issues among sensors to enhance data consistency in ROS bags.
- Developed RViz tools for visualizing GPS raw data, graph-SLAM edges, and robot orientation.
- Collaborated with three senior data scientists on SLAM and localization projects.
Education
Bachelor of Science - Information Engineering
HAW Hamburg
Hamburg09.2025
Skills
Software development: C/C and Python
Certification
AI Programming with Python (Udacity). See Credentials.
Interests
Cooking
Volleyball
Philosophy
Timeline
Working Student - Reference Algorithms Developer
MicroVision GmbH
02.2025 - 11.2025
Reference Algorithms Developer (Mandatory Internship)
MicroVision GmbH
08.2024 - 01.2025
Working Student - C++ Developer
Ibeo Automotive Systems
05.2022 - 07.2024
Point Cloud Data Scientist (Voluntary Internship)
Teraki GmbH
10.2021 - 04.2022
Bachelor of Science - Information Engineering
HAW Hamburg