Summary
Carden Bagwell is a Staff AI/ML Engineer in San Francisco with 12 years of experience building perception systems for autonomous vehicles. He has driven lidar and sensor-perception advances at Cruise and Zoox and helped launch a publicly available driverless service in San Francisco. Carden combines research-grade applied ML with production engineering—designing next-generation lidar detection architectures and shipping them into fleet-scale systems. His background includes firmware, mapping, and tooling work at Tesla and Google, giving him a rare full-stack view of autonomy from sensors through validation pipelines. He also taught and researched at Georgia Tech, applying probabilistic ML to real-world problems like trading strategies and robotics calibration. Practical, systems-minded, and comfortable moving between prototyping and large-scale deployment, he thrives on turning complex perception research into reliable road-ready software.
12 years of coding experience
11 years of employment as a software developer
B.S., Computer Engineering, B.S., Computer Engineering at Georgia Institute of Technology