Summary
Vijay Kumar is a Principal Data Scientist with a PhD in Industrial Engineering and nine years of experience building ML, deep learning, reinforcement learning, and generative AI solutions that drive measurable business impact. He has led large-scale AI initiatives at Procter & Gamble that delivered over $70M in global value, including reinforcement learning for bidding and optimization of connected TV spend, and now applies that expertise at Johnson & Johnson. Vijay blends academic rigor—novel importance-sampling algorithms and multi-stage stochastic optimization from his PhD work—with practical systems skills across Python, Spark, Azure, LangChain and RAG pipelines to move research into production. Comfortable with both mathematical optimization tools (GAMS, CPLEX) and modern generative toolkits, he focuses on scalable, cost-efficient AI that speeds insight delivery. Colleagues describe him as a results-oriented problem solver who surfaces non-obvious gains by combining optimization theory with generative workflows.
9 years of coding experience
11 years of employment as a software developer
Doctor of Philosophy - PhD Industrial Engineering, Doctor of Philosophy - PhD Industrial Engineering at Penn State University
Bachelor of Technology (B.Tech.) Mechanical Engineering, Bachelor of Technology (B.Tech.) Mechanical Engineering at Visvesvaraya National Institute of Technology
Maharashtra Higher Secondary Certificate English Science Maths Geography German, Maharashtra Higher Secondary Certificate English Science Maths Geography German at Abasaheb Garware Junior College
English, Hindi, Marathi, Tamil, German