Summary
Mohiddin Yallur is a Fleet Data Scientist with nine years of experience applying machine learning, simulation, and cloud analytics to complex engineering problems across aviation, robotics, and fleet operations. He has transitioned from aerospace CAE and MRO work into ML-driven roles at Amazon Robotics and RTX, where he led simulation and data science initiatives to improve system performance and aero components. At 3ev and now SPAN he translates real-time telematics and large-scale data into business insights that drive operational decisions. Comfortable with end-to-end pipelines—modeling, visualization (QuickSight/Redshift), and deployment—he blends hands-on engineering rigor from his BTech in Aerospace with production ML practice. Notably, his background in aerodynamics and simulation gives him an uncommon edge when modeling physical systems within fleet and robotics domains.
9 years of coding experience
5 years of employment as a software developer
Bachelor of Technology (BTech) Aerospace Aeronautical and Astronautical Engineering, Bachelor of Technology (BTech) Aerospace Aeronautical and Astronautical Engineering at SRM IST Chennai
English, French, Kannada, Hindi, Urdu