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
SLAM, localization, and sensor fusion
Object detection and tracking algorithms
Deep learning with PyTorch and OpenCV
Scientific computing using NumPy, SciPy, and Matplotlib
Kalman filters for estimation problems
Operating systems: Linux and Docker environments
Robotics software: ROS/ROS2 integration
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