Eva M is a Senior Computer Vision Engineer with eight years of experience building perception and mapping systems for autonomous vehicles, currently developing 4D autolabeling tools at NVIDIA in Bellevue. She combines a strong academic foundation from Carnegie Mellon’s robotics program and NTU electrical engineering with hands-on expertise in SLAM, offline mapping, and semantic segmentation. At NVIDIA she progressed from intern to senior engineer, owning mapping system design, optimization, and large-scale data labeling pipelines for production AV stacks. Her background includes practical monocular visual odometry work and shipping segmentation models for consumer apps, reflecting a breadth from research to product. Known for turning complex sensor data into robust pipeline components, she brings both algorithmic depth and production engineering rigor to perception challenges.
8 years of coding experience
2 years of employment as a software developer
Bachelor of Science - BS Electrical Engineering, Bachelor of Science - BS Electrical Engineering at National Taiwan University
Master's degree Mechatronics Robotics and Automation Engineering, Master's degree Mechatronics Robotics and Automation Engineering at Carnegie Mellon University
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