Summary
Ayan Chattopadhyay is an AI/ML research engineer with a decade of experience blending theoretical physics, applied mathematics, and scientific computing to build production-grade optimization and learning systems. Trained at Princeton and IIT Kharagpur, he has moved fluidly between quantum control research—implementing complex-analysis-based models and optimization in C, Python and OpenMP—and industry work designing constrained metaheuristics and reinforcement learning enhancements for supply-chain and core mathematical engines. At Eyelit Technologies he translated deep algorithmic research into object-oriented software and ML features, including simulated annealing variants and automated learning modules for optimization. His background in theoretical chemistry, numerical methods and stochastic analysis gives him an unusual ability to bridge rigorous theory with pragmatic engineering. Based in Princeton with roots in India, he often pairs custom numerical solvers and global optimization toolchains with practical software design to deliver measurable system improvements.
10 years of coding experience
8 years of employment as a software developer
Bachelor's degree(Hons.) Master's degree Chemistry(Chemical Physics), Bachelor's degree(Hons.) Master's degree Chemistry(Chemical Physics) at Indian Institute of Technology, Kharagpur
Master of Arts - MA Chemistry, Master of Arts - MA Chemistry at Princeton University
Bengali, English, Hindi