Swetha Rayala

Swetha Rayala: Email & Phone Number

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Machine Learning Engineer at Amazon Web Services (AWS)|Boston, Massachusetts, United States

Position:

Machine Learning Engineer at Amazon Web Services (AWS)

Location:

Boston, Massachusetts, United States

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Last updated: 2026-06-02
Updated: 2026-06-02

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Work Experience 7 years

Machine Learning Engineer at Amazon Web Services (AWS)

Nov 2024 - Current

Data Scientist at Outlier

Oct 2023 - Nov 2024

Software Engineer at Root En Route

Nov 2021 - Oct 2023

Software Engineer - ATG at ServiceNow

Jul 2019 - Aug 2021

Their professional focus is Algorithms, Amazon Web Services (AWS), and Arti across 3 core areas.

Education

Master of Science - MS at Duke University

Integrated Dual Degree - B.Tech & M.Tech at Indian Institute of Technology (Banaras Hindu University), Varanasi

Frequently Asked Questions

What is Swetha Rayala's email address?

SignalHire found verified email addresses for Swetha Rayala, both business and personal. Their business email is r*****s@amazon.com, and personal emails include s***********a@gmail.com.

What is Swetha Rayala's phone number?

SignalHire found a verified phone number for Swetha Rayala: +1-***-***-3066.

How do I contact Swetha Rayala at Amazon Web Services (AWS)?

You can reach Swetha Rayala through SignalHire by unlocking their verified email and direct phone number (free signup, no credit card needed). SignalHire is the fastest route if you need their contact details immediately.

What is Swetha Rayala's professional background?

Swetha Rayala has 7 years of professional experience. They have held roles including Data Scientist, Software Engineer, and Software Engineer - ATG at companies such as Outlier, Root En Route, and ServiceNow. Their education includes Master of Science - MS from Duke University, and Integrated Dual Degree - B.Tech & M.Tech from Indian Institute of Technology (Banaras Hindu University), Varanasi.

Is Swetha Rayala's contact information up to date?

Yes. Swetha Rayala's SignalHire profile was last updated on 2 June 2026, reflecting their current position as Machine Learning Engineer at Amazon Web Services (AWS) in Seattle, WA, United States.

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