Arindam Sarkar
Applied Scientist at Amazon
Bengaluru, Karnataka, India
Summary
👤
Senior🎓
Top SchoolArindam Sarkar is an Applied Scientist with nine years of experience building machine learning solutions for retail at Amazon India, blending research rigour with production-grade engineering. He transitioned into ML after gaining hands-on exposure to distributed systems as an MTS at Cohesity, which informs his approach to scalable model deployment. Trained at IIT Kanpur (MTech) and with a computer science undergraduate background, he bridges strong academic foundations with practical industry impact. At Amazon he focuses on applying ML to business-facing problems, optimizing real-world retail workflows rather than purely academic benchmarks. Colleagues describe him as someone who navigates both model experimentation and systems constraints comfortably, ensuring research translates into measurable business outcomes. Based in Bengaluru, he brings a pragmatic, systems-aware perspective to applied ML challenges.
9 years of coding experience
Indian Institute of Technology KanpurBachelor’s Degree, Computer Science, Bachelor’s Degree, Computer Science at Netaji Subhash Engineering College
English, Bengali, Hindi
Github Skills (16)
speech10
multiclass-classification9
datasets9
evaluation9
computer-vision9
nlp8
machine-learning8
pytorch8
pandas8
natural-language-processing8
tensorflow7
manipulation7
deep-learning7
numpy5
data-science5
Programming languages (1)
Github contributions (5)
mysticPrince/powerlawgraph-ex
Dec 2017 - Feb 2018
Contributions:56 pushes in 1 month
Contributions:21 commits, 20 pushes, 1 branch in 1 day
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