Summary
Muhammad Azmi is a software engineer specializing in planning and control for autonomous vehicles, with eight years of experience spanning academia, startups, and industry. Currently at TIER IV he maintains and enhances Autoware’s lane-change and behavior planning modules, driving bug fixes, test coverage, debug visualization, and feature prioritization across diverse ODDs. His background includes hands-on SLAM, sensor calibration, ROS/DDS integration, and vehicle-level system design from PhD research and field deployments, giving him both theoretical depth and practical testbed experience. He also coordinates global integrations with overseas clients, bridging open-source development and vehicle integration. Colleagues describe him as a meticulous maintainer who pairs research-driven algorithms (e.g., potential fields, NDT, pure pursuit) with pragmatic engineering to get autonomous functions safely on the road.
8 years of coding experience
9 years of employment as a software developer
Doctor of Philosophy - PhD, Functional Control System, Doctor of Philosophy - PhD, Functional Control System at Shibaura Institute of Technology
Master’s Degree, Master of philosophy, Master’s Degree, Master of philosophy at Universiti Teknologi Malaysia
English, Chinese, Japanese