Daniel Sedra is a Senior Software Engineer based in the San Francisco Bay Area with a decade of experience building deep learning and perception systems for autonomous vehicles. With a BS from Carnegie Mellon and an MS from Cornell, he has moved from academic research on residual networks to applied roles at Microsoft, Acubed, Nuro, and now Cruise, focusing on tracking, classification, and end-to-end perception stacks. He blends research fluency with production engineering—shipping models and pipelines that operate in real-world robotics and self-driving platforms. Daniel’s background spans data engineering, ML research, and applied perception, giving him a rare full-stack view of sensor processing through model deployment. Colleagues rely on him for translating cutting-edge deep learning ideas into robust, safety-critical software.
10 years of coding experience
6 years of employment as a software developer
High School Diploma, High School Diploma at New Life School
Summer College, Summer College at Cornell University
Bachelor of Science - BS, Computer Science, Bachelor of Science - BS, Computer Science at Carnegie Mellon University
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