Summary
Adi Matam is a software engineer based in Palo Alto with a decade of experience building high-performance systems for autonomous vehicles and embedded platforms. Currently at Woven Planet after key roles at Lyft Level 5, Adi has repeatedly delivered C++-based solutions that dramatically improved runtime and testing efficiency—once accelerating a map-to-image conversion by 1000x and cutting daily test time by an hour through dynamic rerouting services. His background in mechatronics and robotics (University of Waterloo) complements hands-on firmware and ROS work, including STM32 controllers, PID gimbals, and Gazebo simulations. Comfortable across embedded, perception, and tooling stacks, he combines low-level optimization instincts with pragmatic system design for real-world robotics deployments.
9 years of coding experience
3 years of employment as a software developer
Bachelor of Applied Science - BASc, Mechatronics, Robotics, and Automation Engineering, Bachelor of Applied Science - BASc, Mechatronics, Robotics, and Automation Engineering at University of Waterloo