Calvin Feng is a Staff Machine Learning Engineer specializing in vision and perception for robotics with a decade of experience building production ML systems and distributed backends. Rooted in solid-state physics and computational math from UC San Diego, he has led fleet orchestration, data pipelines, and training infrastructure for warehouse and autonomous vehicle perception at Fetch, Embark/Applied Intuition, and Tesla. He bridges deep learning research and engineering—shipping object detection and tracking across camera and LiDAR stacks while owning low-latency Golang/Kafka/Cassandra services and React front-ends. Known for turning messy sensor data into reliable models in production, he also maintains a public portfolio of his work and experiments at calvinfeng.github.io.
Contributions:177 commits, 37 PRs, 146 pushes in 10 months
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