Shrinivas Kulkarni is a Senior Manager in Data Science Technologies with 17+ years of global experience blending mechanical engineering, controls and machine learning to drive Industry 4.0 digitalization across aerospace and industrial hydraulics. He holds a PhD from IIT Bombay on novel neural networks for industrial applications and has repeatedly translated math models and edge/cloud intelligence into commercial xAAS solutions and roadmaps at Danfoss, Eaton, Moog and DLR. Known for leading large innovation workshops and building organizational ML capability, he combines hands-on tooling (Azure ML, TensorFlow, Python, MATLAB) with strategic commercialization and agile execution. Notably, his background in mechatronics and flight-control actuator modeling gives him an uncommon ability to unify physical-system dynamics with data-driven inference for real-time edge insights. Based in Pune, he focuses on end-to-end product lifecycle solutions—engineering through supply chain—to unlock measurable business value from IoT and AI.
11 years of coding experience
14 years of employment as a software developer
Indian Institute of Technology Bombay
Bachelor's degree, Mechanical Engineering, Bachelor's degree, Mechanical Engineering at Savitribai Phule Pune University
Master of Science - MS, Mechatronics, Robotics, and Automation Engineering, Master of Science - MS, Mechatronics, Robotics, and Automation Engineering at University of Duisburg-Essen
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Shrinivas Kulkarni - Senior Manager- Data Science Technologies