Harsh Shukla
Senior Expert - Control Theory & Machine Learning at VAT GROUP
Sennwald, St. Gallen, Switzerland
Summary
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Senior🎓
Top SchoolHarsh Shukla is a control-theory and machine-learning specialist with a decade of experience translating optimization and numerical methods into real-time embedded and FPGA deployments for industrial mechatronics. With a PhD from EPFL and collaborative research stints at Imperial College, TU-Dortmund and ABB, he has led projects that merge ML with optimization for process control and automated code generation tools that let non-hardware experts deploy algorithms on FPGAs. Now a Senior Expert at VAT Group, he combines hands-on embedded implementation experience with academic rigor—reviewing for top control journals and conferences—to drive practical, high-performance control solutions. Notably, his work focuses on making advanced first-order splitting methods accessible on constrained hardware, shortening the path from research to industrial deployment.
10 years of coding experience
7 years of employment as a software developer
Visiting Researcher, Visiting Researcher at Imperial College LondonBachelor's degree, Electrical Engineering, Bachelor's degree, Electrical Engineering at National Institute of Technology SuratDoctor of Science, Doctor of Science at EPFLMaster's Degree, Systems and Control, Master's Degree, Systems and Control at Delft University of Technology
Github Skills (3)
simulate1
policies1
julia1
Programming languages (1)
Github contributions (5)
harshshukla7/SPLIT
Aug 2017 - Oct 2017
Contributions:18 commits, 4 pushes in 2 months
harshshukla7/LAfF
Aug 2017 - Jan 2018
Contributions:20 commits, 9 pushes, 1 branch in 5 months
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