Summary
Fei Lu is a humanoid robotics engineer with three years of hands-on experience applying computer vision, reinforcement learning, and multi-modal sensing to real-world robotic systems. She has built and deployed RL algorithms, SLAM, semantic segmentation (including ViT and CLIP integrations), and multi-robot coordination on platforms operating in GPS-denied and mining environments. Her background blends rigorous robotics research from CMU—covering domain adaptation for monocular depth, social navigation, and curiosity-driven autonomous driving—with industry delivery at OffWorld and SF Motors. Based in Milpitas, CA, she also develops machine learning tooling (author of deepcrawl.dev) and brings a rare mix of naval architecture, robotics control, and MBA project-management training that helps bridge research, engineering, and product priorities.
3 years of coding experience
5 years of employment as a software developer
MBA Project Management, MBA Project Management at USC Marshall School of Business
Master's degree Mechanical Engineering in Robotics and Control, Master's degree Mechanical Engineering in Robotics and Control at Carnegie Mellon University
Bachelor's degree Naval Architecture and Ocean Engineering, Bachelor's degree Naval Architecture and Ocean Engineering at Shanghai Jiao Tong University