Summary
Prateek Gupta is a Machine Learning Engineer and Doctoral Researcher at the University of Luxembourg specializing in neural combinatorial optimization, with eight years of industry experience across data science roles at Wells Fargo, PharmEasy, Myntra, and Mu Sigma. He holds an MS in Computer Science from Georgia Tech and is pursuing a PhD, blending rigorous academic research with practical production experience in analytics and ML. Prateek’s background spans end-to-end data engineering, advanced ML and deep learning nanodegrees, and applied research—bringing both algorithmic depth and deployment-minded pragmatism. Known for moving between research and industry, he leverages a strong electrical engineering foundation to tackle combinatorial and optimization problems that scale in real-world systems.
8 years of coding experience
7 years of employment as a software developer
Advanced Machine Learning Specialization Deep Learning, Advanced Machine Learning Specialization Deep Learning at Coursera
Post Baccalaureate Computer Science, Post Baccalaureate Computer Science at Oregon State University
Machine Learning Advanced Nanodegree Machine Learning Advanced/ Artifical Intelligence, Machine Learning Advanced Nanodegree Machine Learning Advanced/ Artifical Intelligence at Udacity
Doctor of Philosophy - PhD, Doctor of Philosophy - PhD at University of Luxembourg
Bachelor of Technology (B.Tech.) Electrical and Electronics Engineering, Bachelor of Technology (B.Tech.) Electrical and Electronics Engineering at National Institute of Technology Jamshedpur
Master of Science in Computer Science Computer Science, Master of Science in Computer Science Computer Science at Georgia Institute of Technology