Fanfei Chen
Summary
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SeniorFanfei Chen is a Senior Computer Vision Engineer with a Ph.D. in Robotics from Stevens Institute of Technology and eight years of experience building perception and ML systems for mobile robots and autonomous platforms. She has transitioned research-grade sim2real and graph-based deep RL methods into production perception stacks across startups in the San Francisco Bay Area, most recently leading computer vision at Ebots. Her work spans end-to-end vision pipelines—segmentation, inpainting, mapping and belief-space exploration—blending classical robotics with modern deep learning. At Stevens she developed zero-shot sim2real transfer and graph neural network policies for exploration, a research-to-product thread that recurs throughout her roles. Known for pragmatic problem-solving, she moves quickly from simulation and prototyping to robust field-deployable systems. Based in the Bay Area, she pairs academic rigor with hands-on engineering to solve perception challenges in complex, uncertain environments.
8 years of coding experience
Github Skills (4)
mobile10
deep-reinforcement-learning10
expectation-maximization9
pytorch8
Programming languages (3)
Github contributions (5)
RobustFieldAutonomyLab/DRL_robot_exploration
Jul 2020 - Sep 2020
Self-Learning Exploration and Mapping for Mobile Robots via Deep Reinforcement Learning
Contributions:30 commits, 4 pushes in 2 months
deep-reinforcement-learningmobilerobot-explorationrobot-learning
RobustFieldAutonomyLab/DRL_graph_exploration
Jul 2020 - Jul 2021
Autonomous Exploration Under Uncertainty via Deep Reinforcement Learning on Graphs
Contributions:36 commits, 11 pushes, 6 comments in 11 months
deep-reinforcement-learninggraphspytorchrobot-explorationrobot-learning
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