Yogendra Singh is a Technical Lead with nine years of multidisciplinary engineering experience, currently driving AI/ML and software initiatives at Ford Motor Company from Detroit. Trained as an aerospace engineer (IIT Kanpur, Purdue) and upskilled through multiple Udacity nanodegrees in Machine Learning, Robotics, and Computer Vision, he blends rigorous research experience in hypersonics with practical ML and control systems expertise. He has a strong track record of leading cross-functional teams and delivering complex projects—from initiating and managing R&D programs at IISc and BrahMos to achieving rapid customer resolutions at MathWorks. Known for translating academic research into production-ready solutions, he pairs systems-level thinking with hands-on debugging, simulation, and automation skills. An engineer who moves comfortably between high-performance computing, control design, and applied machine learning, he brings rare depth across aerospace research and industrial ML deployments.
9 years of coding experience
5 years of employment as a software developer
Indian Institute of Technology Kanpur
Nanodegree, Machine Learning, Nanodegree, Machine Learning at Udacity
Master's degree, Aeronautics and Astronautics Engineering, Master's degree, Aeronautics and Astronautics Engineering at Purdue University
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