Sanket Kamthe is a Deal Structurer at Shell with a decade of experience at the intersection of machine learning, quantitative modelling, and production engineering. He holds an academic foundation from Imperial College London (PhD/MSc in Machine Learning) and has led applied AI teams and research initiatives at JPMorgan Chase, translating scalable Gaussian process research and HPC techniques into business-critical ML products. His background spans both deep research—Bayesian inference, compressive sensing, large-scale Gaussian processes—and hands-on engineering across finance and industry, reflecting an ability to take models from prototype to production. Sanket’s career blends vocal leadership roles (VP Applied AI/ML Lead) with early-stage research fellowships and internships, giving him both strategic and technical fluency. Based in the UK, he brings a rare combination of academic rigor and commercial deal structuring acumen, often framing ML solutions around real-world constraints and risk. An understated strength is his cross-domain fluency—from semiconductor photonics and telecom hardware to financial AI—enabling pragmatic innovation in complex, regulated environments.
10 years of coding experience
12 years of employment as a software developer
Doctor of Philosophy (Ph.D.) Machine Learning, Doctor of Philosophy (Ph.D.) Machine Learning at Imperial College London
Technischen Universität Darmstadt
Bachelor of Engineering (B.E.) Electrical Electronics and Communications Engineering, Bachelor of Engineering (B.E.) Electrical Electronics and Communications Engineering at Savitribai Phule Pune University
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