Kunind Sahu

AI @ AWS | UCSD | IIT Bombay

Role: Machine Learning Engineer at Amazon Web Services (AWS)
Location: Seattle, WA, US
LinkedIn followers: 500 followers

Information TechnologyView LinkedIn profile

Experience

Machine Learning Engineer
Amazon Web Services (AWS)
May 2025 — Present · Seattle, WA, US
Deep Learning for biometrics @ Amazon One

Education

Pace Junior Science College
HSC
2017 — 2019
Smt. Sulochanadevi Singhania School
ICSE
2007 — 2017
Indian Institute of Technology, Bombay
Bachelor of Technology - BTech
2019 — 2023
UC San Diego
Master of Science - MS
2023 — 2025

Contact information

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Work email
•••••@amazon.com
Personal email
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Current company

Amazon Web Services (AWS)

IT Services and IT Consulting · 10K employees · Founded 2006 · 410 Terry Ave N, Seattle, WA, 98019, US

Launched in 2006, Amazon Web Services (AWS) began exposing key infrastructure services to businesses in the form of web services -- now widely known as cloud computing. The ultimate benefit of cloud computing, and AWS, is the ability to leverage a new business model and turn capital infrastructure expenses into variable costs. Businesses no longer need to plan and procure servers and other IT resources weeks or months in advance. Using AWS, businesses can take advantage of Amazon's expertise and economies of scale to access resources when their business needs them, delivering results faster and at a lower cost. Today, Amazon Web Services provides a highly reliable, scalable, low-cost infrastructure platform in the cloud that powers hundreds of thousands of businesses in 190 countries around the world. With data center locations in the U.S., Europe, Singapore, and Japan, customers across all industries are taking advantage of our low cost, elastic, open and flexible, secure platform.

amazon.com

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Experience

Machine Learning Engineer

Education

Pace Junior Science College

Smt. Sulochanadevi Singhania School

Indian Institute of Technology, Bombay

UC San Diego

Find verified contacts for anyone on LinkedIn