Summary
Mayank Kakodkar is a Senior Applied Scientist with over a decade of ML experience, currently shaping Full Funnel Campaigns at Amazon Advertising by building optimization and recommender systems that extract product insights from petabyte-scale, unstructured data. He holds a PhD from Purdue where he worked on MCMC, GNNs, and subgraph/motif mining, and brings 5+ years of focused graph and deep learning expertise to production problems. Earlier he led engineering and research teams at Media.Net, shipping contextual engines and reinforcement-learning driven keyword intelligence at scale. Comfortable spanning research and product, he emphasizes explainability and clever supervision design while exploring AI tooling to accelerate data science workflows. Based in New York, he combines academic rigor with startup leadership and a track record of turning complex graph models into actionable advertising products.
10 years of coding experience
13 years of employment as a software developer
Indian Institute of Technology Delhi (IIT Delhi)
Doctor of Philosophy (Ph.D.), Computer Science, Doctor of Philosophy (Ph.D.), Computer Science at Purdue University
English