Rajat Agarwal
Senior Applied Scientist at Amazon
Bengaluru, Karnataka, India
Summary
👤
Senior🎓
Top SchoolRajat Agarwal is a Senior Applied Scientist with 11 years of experience building large-scale machine learning systems for advertising and traffic quality at Amazon, currently focused on robot and ad fraud detection. He combines production ML engineering with deep research interests in computer vision, NLP, semi/self-supervised learning, generative models, and model-free reinforcement learning. Over successive roles at Amazon — from SDE to research scientist to senior applied scientist — he has shipped deep learning solutions for ad relevance, click prediction, image-based attribute extraction, and fraud detection at scale. His background includes applied RL work at Microsoft Research India and hands-on convolutional models for large-scale similarity search, reflecting a blend of academic curiosity and production rigor. Based in Bengaluru, he brings a track record of turning research ideas into operational systems that protect ad ecosystem quality.
11 years of coding experience
6 years of employment as a software developer
BITS Pilani, Birla Institute of Technology and Science
English, Hindi
Github Skills (12)
evaluation9
educational-technology9
gitlab8
data-retrieval8
datasets6
python5
data-science4
database4
database-management3
science3
pandas2
machine-learning2
Programming languages (3)
Github contributions (5)
rajat503/rajat503.github.io
Jan 2015 - Mar 2017
Contributions:52 pushes in 2 years 2 months
rajat503/CartPoleDQL
Oct 2016 - Mar 2018
Contributions:12 pushes, 1 branch in 1 year 5 months
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