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Rajeev Rastogi

Vice President, Machine Learning at Amazon India, Amazon

Rajeev Rastogi is Vice President, Machine Learning at Amazon India, and joined Amazon in 2012. A 2020 Amazon Science profile describes the India machine learning team's work on the shopping experience in India, catalog quality, sustainable packaging and COVID-19 response. Before Amazon, Rastogi was a vice president at Yahoo Labs, where the team built algorithms for extracting structured information from webpages, and earlier worked on scalable clustering algorithms at Bell Labs. Rastogi's recent research includes a paper on using uncertainty estimates alongside classifier scores to set decision thresholds (ICLR 2024), and Rastogi is quoted in Amazon India's July 2026 announcement marking five years of its free Machine Learning Summer School for engineering students.1234

At a glance

Current role
Vice President, Machine Learning at Amazon India
Company
Amazon
Sector
Company
Work listed
1
Sources cited
4
Profile reviewed

Career

Rajeev Rastogi began a research career at Bell Labs, where early work focused on clustering algorithms that could scale to large data sets. Rastogi later served as a vice president of Yahoo Labs, whose team built algorithms to extract structured information from webpages and present it to users.2

Rastogi joined Amazon in 2012, starting with algorithms for classifying products into Amazon's product taxonomy. As vice president of machine learning for Amazon India, Rastogi has led work on the shopping experience, catalog quality and product packaging, and Amazon Science's author page lists Rastogi with the India Machine Learning group.231

Research

Papers Rastogi has co-authored at Amazon include a latent factor model for recommending product size fits to customers (RecSys 2017), a scalable MinHash-based method for generating higher-order features for linear models (CIKM 2018), and a 2024 ICLR paper on using uncertainty estimates to choose classifier decision thresholds.34

Work and contributions

Timeline

  1. Joined Amazon, beginning with product classification algorithms.2
  2. Published "Machine learning (ML) in the real world" at VLDB 2016.3
  3. Co-authored a RecSys 2017 paper on recommending product sizes to customers.3
  4. Co-authored a CIKM 2018 paper on scalable higher-order feature generation using MinHash.3
  5. Co-authored an ICLR 2024 paper on leveraging uncertainty estimates to improve classifier performance.43
  6. Was quoted in Amazon India's announcement marking five years of its Machine Learning Summer School.1

Other documented roles

Roles the sources document that are not confirmed as current.

  • Vice president, Yahoo Labs2

Where they work

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References

4 sources · profile reviewed Oct 21, 2026 · data updated Oct 21, 2026

  1. Amazon's Machine Learning Summer School Turns Five, Over 12,000 Students Trained in AI/ML Skills Across IndiaAmazon India Press Center · Announcement · published Jul 20, 2026 · accessed Oct 21, 2026
  2. How Rajeev Rastogi's machine learning team in India develops innovations for customers worldwideAmazon Science · Official page · published Nov 18, 2020 · accessed Oct 21, 2026
  3. Rajeev Rastogi — Amazon Science author pageAmazon Science · Official page · accessed Oct 21, 2026
  4. Leveraging Uncertainty Estimates To Improve Classifier Performance (arXiv 2311.11723)arXiv · Paper · published Nov 20, 2023 · accessed Oct 21, 2026