Si Teng is a robotics and AI researcher with nine years of hands-on experience building real-world autonomy systems, rapid AI prototypes, and data-driven dashboards. Currently a Graduate Student Researcher at Carnegie Mellon University, Si blends deep learning and reinforcement learning expertise with practical deployment skills in ROS, Docker, and mobile/web apps to move research into operational prototypes. Previously led multi-robot exploration co-development between DSTA and CMU and delivered high-throughput analytics and BLE-based indoor localization solutions, demonstrating a knack for turning large, messy data into actionable visualizations. With an electrical engineering background from NUS and ongoing graduate work at CMU, Si also brings atypical cross-disciplinary experience as a freelance musician and events manager, a role that sharpened team leadership, logistics planning, and client-driven delivery.
9 years of coding experience
6 years of employment as a software developer
Bachelor of Engineering - BE, Electrical Engineering, Bachelor of Engineering - BE, Electrical Engineering at Franklin W. Olin College of Engineering
Master of Science - MS, Robotics, 3.8, Master of Science - MS, Robotics, 3.8 at Carnegie Mellon University
Bachelor of Engineering - BE, Electrical Engineering, Current CAP: 4.4, Bachelor of Engineering - BE, Electrical Engineering, Current CAP: 4.4 at National University of Singapore
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