Haoyuan C.
Software Engineer – Backend Development (full-time intern)
Experience
Software Engineer – Backend Development (full-time intern)
AICI GMBH
Independently led the backend development as the sole contributor and applied computer vision techniques to transform raw SLAM (Simultaneous Localization and Mapping) data, initially only collected by the robot, into user-friendly CAD models, enabling product progression from prototype to release-ready architectural application.
Developed and implemented mathematical algorithms to accurately detect room contours and improve precision of wall-length estimations from spatial maps.
Contributed to reducing human intervention by optimizing backend processes for real-time, automated CAD generation.
Collaborated with cross-functional teams in robotics, data science, and software engineering to enhance system efficiency and scalability.
Stack: Python, C++, OpenCV, NumPy.
ML and automotive related projects
Roller Coaster Safety Simulation: Simulated the motion contour of a roller coaster under various extreme conditions using physics-based models and machine learning to ensure structural integrity and rider safety.
Developed a reinforcement learning framework that treats credit assignment as a causal inference problem, significantly enhancing policy performance by ensuring rewards were attributed to truly influential actions.
Leveraged strong analytical and strategic design skills—alongside machine learning and deep learning techniques—to improve safety, performance, and efficiency in real-world automotive applications.
Researcher (IDP and master thesis)
TUM Chair of Decision Science & Systems
Completed an interdisciplinary project about tournament solutions and continued research in the field of matching markets for master’s thesis.
One thesis on tournament solutions in matching markets is forthcoming in an academic publication.
Lecturer (full-time)
TAL Educational Technology Co., Ltd
Taught C++ programming with a focus on both fundamental and advanced algorithms and data structures, including recursion, dynamic programming, trees, graphs, and sorting techniques.
Guided students in applying C++ to solve complex computational problems and prepare for algorithm competitions.
Emphasized problem-solving strategies, code optimization, and real-world applications of algorithmic thinking.
Deepened personal expertise in C++ and algorithmic design through curriculum development and hands-on coaching.
Intern Software Engineer (summer intern)
Nanjing Deasy SV Automotive Co
Automated parts of the data pipeline, increasing dataset size by 50% and contributing to improved model performance.
Provided actionable feedback to engineers, helping refine internal processes and workflow efficiency.
Demonstrated strong learning ability and applied second-year computer science knowledge to real-world tasks, earning positive feedback from the team for both technical contributions and initiative.
Languages
Education
Technical University of Munich
M.Sc. Computer Science · Computer Science · Munich, Germany
Pennsylvania State University
Bachelor’s degree, Minor in Math · Computer Science · State College, United States · 3.79/4.0
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