Nitin Singh is a Senior Operations Research Scientist with nine years of experience blending optimization, machine learning and physics-informed modelling to deliver commercial impact at Shell. He builds large-scale MILP/MINLP frameworks, Pyomo/CPLEX/SCIP solutions and DRL systems for problems from LNG portfolio and fleet scheduling to compressor network power reduction and windfarm layout. His PhD in Computational Physics underpins a knack for inverse-design and mechanistic thinking that he applies to data-driven real-time optimization and extreme-event forecasting. Notably, his DRL inventory and scheduling approaches have outperformed classical baselines by 1โ3% in annual profit, and his compressor optimization reduced network power draw by 1โ2%. Based in Bengaluru, he combines research rigor with production-ready tooling (Python, C++, PyTorch, SQL) and a strong commitment to the energy transition.
9 years of coding experience
9 years of employment as a software developer
Doctor of Philosophy - PhD, Computational Physics, Doctor of Philosophy - PhD, Computational Physics at Leiden University
Master's degree, Materials Science, 8.0/10, Master's degree, Materials Science, 8.0/10 at Indian Institute of Technology, Kharagpur
Contributions:9 pushes, 1 branch in 2 years 2 months
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Nitin Singh - Senior Operations Research Scientist