Ravindra Yadav

Head Of Data Science

Greater Bengaluru Area India
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Summary

👤
Senior
🎓
Top School
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.
code11 years of coding experience
job12 years of employment as a software developer
bookMaster's Degree, CS - Machine Learning, Master's Degree, CS - Machine Learning at Georgia Institute of Technology
bookHigher Secondary, Science, Higher Secondary, Science at Scottish Church College
bookBachelor of Technology - BTech, ECE, Bachelor of Technology - BTech, ECE at National Institute of Technology,Silchar
languagesEnglish
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Github Skills (26)

caching9
binlog9
database8
json8
redis8
realtime7
nosql7
time-series7
data-structure7
relay6
open-source6
kafka6
distributed-systems6
message-queue6
key-value-store6

Programming languages (2)

JavaC

Github contributions (3)

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Flipkart/aesop

Apr 2015 - Jun 2015

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
observereventsrelaymysqlparties
thinkaurelius/titan

Jan 2016 - Jan 2016

Distributed Graph Database
Contributions:1 comment in 1 day
graph-database
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