Ravindra Yadav is a data science and AI leader with 18+ years of experience building production ML systems across eCommerce, social apps, and banking, currently heading Data Science at Meesho and driving next‑gen search and recommender platforms powered by Transformers and deep learning. He has a strong track record of translating research into measurable product impact—optimizing ranking, user journeys and reinforcement learning to lift engagement and revenue. Prior roles at Flipkart, Hike, Clip and Goldman Sachs show breadth from fraud detection and graph systems to video recommendation and anomaly detection for trading. He blends hands‑on modeling (CNNs, LLMs, transfer learning) with large‑scale engineering—designing pipelines and real‑time features at scale. Known for instituting research‑oriented teams, he also brings practical creativity to cold‑start and watermark/duplicate detection problems that improved retention and content quality. Trained in machine learning at Georgia Tech and rooted in Indian product ecosystems, he focuses on aligning AI strategy with cross‑functional business goals.
11 years of coding experience
12 years of employment as a software developer
Master's Degree CS - Machine Learning, Master's Degree CS - Machine Learning at Georgia Institute of Technology
Higher Secondary Science, Higher Secondary Science at Scottish Church College
Bachelor of Technology - BTech ECE , Bachelor of Technology - BTech ECE at National Institute of Technology,Silchar
A keen Observer of changes that can also relay change events reliably to interested parties. Provides useful infrastructure for building Eventually Consistent data sources and systems.
Contributions:18 commits, 3 PRs, 16 pushes in 2 months
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