I-chen Jwo is a software engineer with eight years of experience specializing in perception simulation for autonomous systems, currently working at Aurora in Sunnyvale. With a Master's in Robotic Systems Development from Carnegie Mellon and a background in mechatronics, he blends robotics, computer vision, and sensor fusion to tackle real-world perception problems. His prior work includes building low-cost 3D sensor fusion pipelines with Mask R-CNN at Caterpillar and developing depth-camera manipulation demos at Fetch Robotics, demonstrating both embedded systems and high-level learning integration. At Aurora he focuses on perception simulation, a niche that bridges synthetic data, sensor models, and validation tooling to accelerate safe autonomy. Known for practical problem-solving, he has repeatedly turned noisy sensor data into robust detections and deployable APIs for constrained hardware.
8 years of coding experience
1 year of employment as a software developer
Bachelor's degree, Bio-Industrial Mechatronics Engineering, Bachelor's degree, Bio-Industrial Mechatronics Engineering at National Taiwan University
Master's degree, Master of Robotic Systems Development, Master's degree, Master of Robotic Systems Development at Carnegie Mellon University
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