Rudrendu Paul is an Applied AI/ML and Marketing Measurement Science leader with over 15 years of experience building and scaling high-impact AI products at Fortune 50 enterprises. Specializing in causal inference, experimentation, agentic AI/LLM systems, and enterprise AI strategy, he drives technological innovation across Retail Media Networks (RMN), AdTech, MarTech, CPG, and e-commerce sectors.
A dedicated advocate for the AI community, Rudrendu is an active open-source contributor to Hugging Face, Google ADK, and Scikit-learn. His academic and applied research has been featured in top-tier publications, including ICML, Springer Nature, Elsevier, and IEEE. He is a frequent contributor to leading technical AI publications such as HackerNoon and DZone, and authors the causal inference series on freeCodeCamp.
Rudrendu holds an MBA and an M.S. in Data Science from Boston University, and a Bachelor's in Engineering.
