Revanth Madamala is a Machine Learning Engineer with experience at Meta, TikTok, LexisNexis, Autodesk, and Kore.ai, working on large-scale recommendation systems, ranking models, and generative AI. His work spans e-commerce recommendation and ads Ranking, retrieval and candidate generation, multi-task learning, and region-aware personalization, driving measurable impact at scale. He has hands-on experience with Ranking models, LLM architecture, RAG frameworks, NLP, deep learning, and end-to-end ML system design—from data and modeling to deployment and evaluation. In addition to industry work, Revanth is an active researcher, startup co-founder, and mentor, passionate about helping engineers bridge theory and real-world AI impact.