Osman Shawkat is an AI Architect with a decade of experience building production ML and perception systems across autonomy, edge devices, and health-related applications. He has led end-to-end projects from sensor calibration and synthetic data pipelines to bespoke on-device models—shipped solutions include a facial-recognition literacy tracker now scaling toward 500k students and a live race-horse injury detection system used at tracks worldwide. Osman combines rigorous academic training in physics (Harvard) and an MS in Computer Science (Georgia Tech) with hands-on hardware experience from embedded senior-mobility devices to autonomous vehicle sensors. He’s strong at bootstrapping solutions from limited or noisy data—often prioritizing recall and real-world robustness—and at iterating quickly with client feedback. Colleagues rely on him to turn ambiguous research problems into operational systems that balance accuracy, latency, and deployment constraints.
10 years of coding experience
12 years of employment as a software developer
Master of Science (MS) Computer Science, Master of Science (MS) Computer Science at Georgia Institute of Technology
Bachelor of Arts (B.A.) Physics, Bachelor of Arts (B.A.) Physics at Harvard University
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