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MC
Meng-Huan Chiang
Junior Robotics & Reinforcement Learning Engineer specializing in autonomous systems
Embedded Software Intern2 years experienceJuniorAerospace & DefenseRoboticsAutonomous Vehicles
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About
Robotics/ML candidate building an individual pedestrian trajectory forecasting system by adapting a GAN-style Social-GN training architecture from LSTM to a transformer-based AgentFormer design. Also has hands-on embedded robotics experience debugging lane-following behavior on a JetBot by tuning PID control, and uses Docker for reproducible training environments.
Experience
Embedded Software InternMeiloon Industrial Co., Ltd.
Research AssistantIntelligent Embedded Control Lab, National Cheng Kung University
Teaching AssistantDepartment of Aeronautics and Astronautics, National Cheng Kung University
Education
Texas A&M Universitymaster, Computer Engineering (2026)
National Cheng Kung Universitymaster, Aeronautics and Astronautics Engineering (2024)
Key Strengths
- Designed and implemented a transformer-based Social-GN + AgentFormer trajectory forecasting architecture as an individual project
- Hands-on experience stabilizing GAN-like training via multi-loss weighting (BCE + reconstruction + variability)
- Real-time robotics debugging through PID tuning for lane-following on JetBot (improved curve handling)
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