Summary
Adesh S is an applied scientist with a PhD in nuclear physics and over a decade of experience turning large, messy research datasets into production-ready machine learning solutions at companies like Amazon and TransUnion. He blends deep quantitative skills—Monte Carlo, PDEs, statistical inference—with practical engineering in C++, Python, Spark and the Hadoop ecosystem to score and serve models over billions of records. His background as an experimental physicist informs a rigorous approach to data quality, calibration and uncertainty modeling, evidenced by award-winning thesis work and leadership across large collaborations. He has built end-to-end systems from RNN and multi-label NLP models to C++ scoring engines and optimized multi-threaded calibration algorithms for calorimeters. Colleagues rely on him both for technical depth and for translating complex scientific problems into scalable, data-driven product improvements.
10 years of coding experience
13 years of employment as a software developer
Doctor of Philosophy (PhD), Nuclear Physics, Doctor of Philosophy (PhD), Nuclear Physics at Mississippi State University
English, Nepali