Welcome to My Personal Page
Tianhao Gu
Automotive Data AI Engineer @BMW
Technical University of Munich (TUM) - QS Global 22nd
My Goal
I am a soon-to-graduate Computer Science student (B.Sc. and M.Sc. at TUM) passionate about applying AI to real-world scenarios and driving digital and automation transformation for enterprises.
Education
Master of Science in Computer Science
Technical University of Munich (TUM) - QS Global 22nd
September 2024 - 2026 (In Progress)
Specialized focus on advanced machine learning, autonomous systems, and AI safety.
Academic Visit
National Taiwan University - QS Global 63rd
February 2025 - June 2025
Advanced Machine Learning Research and Web3 Blockchain Technology.
Bachelor of Science in Computer Science
Technical University of Munich (TUM) - QS Global 22nd
September 2021 - September 2024
4.0 GPA in Machine Learning modules, with comprehensive foundation in algorithms, systems, and mathematical analysis.
Research Experience
Bachelor Thesis Research
Technical University of Munich
May 2024 - October 2024
"Effectiveness of Search-Based Testing on a Deep Reinforcement-Learned Controller"
- Conducted empirical evaluation of metaheuristic search algorithms for DRL robustness testing
- Achieved over 500% improvement in testing efficiency compared to traditional random testing
- Developed OpenSBT framework for structured evaluation and reproducibility
- Collaborated with University of Southern California research group for system integration
Work Experience
Automotive Data Engineer - AI Solution
BMW Group (Munich Headquarters)
August 2025 - Present
- Conducting research in AI reasoning and related applications for automotive solutions
- Developing innovative AI-driven data processing methodologies for autonomous vehicle systems
- Collaborating with cross-functional teams to integrate AI solutions into BMW's digital ecosystem
Autonomous Systems Research Engineer
TUfast Racing Team, TUM
October 2024 - February 2025
- Leading autonomous vehicle development with enhanced control systems and safety protocols
- Developed and integrated advanced PID and Pure Pursuit controllers, achieving 60% latency reduction
- Refactored autonomous driving codebase for improved modularity and maintainability
- Implemented CARLA simulator integration for comprehensive testing scenarios
- Collaborated on SLAM-based localization and sensor fusion systems
- Achieved multiple podium finishes including Formula Student Netherlands victory, 3rd place in Efficiency at FSA, and double championships (Driverless & Electric) at FS Spain, culminating in Formula Student Germany competition
Assistant Tutor
Technical University of Munich, CS Department
September 2022 - June 2024
- Served as Assistant Tutor 6 times at TUM
- Linear Algebra (Apr 2024 – Jun 2024)
- Discrete Probability (Apr 2024 – Jun 2024)
- Discrete Structures (Oct 2023 – Feb 2024; Oct 2022 – Feb 2023)
- Introduction to Programming (Sep 2023 – Oct 2023; Sep 2022 – Oct 2022)
Co-Founder
LingTu.de Edutech
October 2022 - February 2024
- Co-founded legally registered EdTech company in Munich offering language and programming courses
- Developed career training programs for international students in collaboration with experienced German HR professionals
- Achieved over €10,000 in annual revenue serving 70+ learners and partnering with 10+ employers
Professional Contact
I welcome opportunities for research collaboration, academic discussions, and professional networking. Please feel free to reach out for inquiries regarding my work, potential partnerships, or academic exchange.