Ibrahim Akbar is a Senior Autonomy Engineer with eight years of experience building robotics and autonomy systems across research and industry, currently driving autonomy work at Field AI. He progressed through technical leadership roles at Booz Allen Hamilton where he led robotics engineering and staff-level software efforts, translating research ideas into deployed systems. His academic background (M.S. in Electrical Engineering, UC San Diego) and research on Bayesian neural networks, model-based RL, and Gaussian processes underpin practical solutions in human-robot interaction and crowd-aware navigation. Ibrahim combines strong teaching and mentoring experience—having taught planning, learning, and estimation courses—with hands-on sensor and perception work (RGBD data collection with ZED2 cameras). He has a track record of moving from prototyping to production while keeping a research mindset, often bridging Bayesian methods and control for safer autonomous behavior. Based in Washington, D.C., he brings a blend of rigorous academic training and pragmatic engineering leadership to autonomy challenges.
8 years of coding experience
8 years of employment as a software developer
University of California, San Diego
Bachelor of Science (B.S.) Electrical and Computer Engineering, Bachelor of Science (B.S.) Electrical and Computer Engineering at University of Rochester
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Ibrahim Akbar - Senior Autonomy Engineer at Field AI