Summary
Shakeeb Ahmad is a software engineer specializing in planning and controls with eight years of experience applying robotics perception, motion planning, and control to real-world autonomy challenges. Currently at Zoox, he brings a research-driven approach from his PhD work at CU Boulder, where he helped develop sampling-based planners, reactive control, and semantic perception for subterranean exploration that contributed to a top-three DARPA Subterranean Challenge finish. His background spans aerial and ground robotics—from fast quadrotor trajectory generation using PX4 and Jetson platforms to LiDAR-based mapping and POMDP-informed decision making—combining strong C++/ROS engineering with probabilistic state estimation. Based in Boulder, he blends academic rigor with production-focused system design and has a track record of turning complex sensor and planning research into deployable autonomy components.
8 years of coding experience
7 years of employment as a software developer
Master of Science (MS), Electrical Engineering, Master of Science (MS), Electrical Engineering at University of New Mexico School of Engineering
Bachelor of Engineering (B.E.), Electrical Engineering, Bachelor of Engineering (B.E.), Electrical Engineering at National University of Sciences and Technology (NUST)
Doctor of Philosophy - PhD, Aerospace, Aeronautical and Astronautical Engineering, Doctor of Philosophy - PhD, Aerospace, Aeronautical and Astronautical Engineering at University of Colorado Boulder
English, Urdu