Suman Senapati is a Technical Manager at Hindustan Petroleum with 12 years' experience combining chemical engineering operations and applied AI to optimize refinery performance. He leads real-time optimization and ML-driven soft sensors and simulators for crude and naphtha units, and has built PiNN-based fouling models and what-if analysis tools that directly inform plant decisions. Trained in Applied AI (University of San Diego) and with a postgraduate certificate in AI/ML from DIAT, he bridges domain expertise in CDU operations with hands-on ML/DL development, from logistic regression and multi-layer perceptrons to end-to-end model builders and VBA/.NET automation. Equally comfortable in the control room and the lab, he has propelled green hydrogen and CCU projects while also launching operator training simulators and refinery-wide yield accounting solutions. Notably, his profile blends production shift leadership with in-house AI toolchains that turn historical plant data into actionable digital twins.
12 years of coding experience
2 years of employment as a software developer
Bachelor of Technology - BTech, Chemical Engineering, 8.62, Bachelor of Technology - BTech, Chemical Engineering, 8.62 at National Institute of Technology Durgapur
Master of Science - MS, Applied Artificial Intelligence, Master of Science - MS, Applied Artificial Intelligence at University of San Diego
Postgraduate Certificate, Artificial Intelligence and Machine Learning, 79%, Postgraduate Certificate, Artificial Intelligence and Machine Learning, 79% at Defense Institute of Advanced Technology (DIAT), DU, DRDO
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