KoteswaraRao Patchava

KoteswaraRao Patchava: Email & Phone Number

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Machine Learning Data Associate at Amazon|Hyderabad, Telangana, India

Position:

Machine Learning Data Associate at Amazon

Location:

Hyderabad, Telangana, India

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Last updated: 2026-04-15
Updated: 2026-04-15

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Work Experience 2 years

Machine Learning Data Associate at Amazon

Jan 2026 - Current

AI-LLM Analyst / Prompt Engineer at Innodata Inc.

Jul 2025 - Jan 2026

ML Data Associate (GO-AI) | Global Operations – Artificial Intelligence at Amazon

Jun 2024 - Dec 2024

KoteswaraRao Patchava started working in 2024, then the employee has changed 1 company and 2 jobs. On average, KoteswaraRao Patchava works for one company for 5 months.

Their professional focus is Adaptation, Amazon QuickSight, and Attention to Detail across 3 core areas.

Education

Bachelor of Technology - BTech at Narsaraopeta Institute of Technology

Frequently Asked Questions

What is KoteswaraRao Patchava's email address?

SignalHire found a verified business email address for KoteswaraRao Patchava: k********a@amazon.com.

What is KoteswaraRao Patchava's phone number?

SignalHire found a verified phone number for KoteswaraRao Patchava: +91-***-***-3432.

How do I contact KoteswaraRao Patchava at Amazon?

You can reach KoteswaraRao Patchava 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 KoteswaraRao Patchava's professional background?

KoteswaraRao Patchava has 2 years of professional experience. They have held roles including AI-LLM Analyst / Prompt Engineer, and ML Data Associate (GO-AI) | Global Operations – Artificial Intelligence at companies such as Innodata Inc., and Amazon. Their education includes Bachelor of Technology - BTech from Narsaraopeta Institute of Technology.

Is KoteswaraRao Patchava's contact information up to date?

Yes. KoteswaraRao Patchava's SignalHire profile was last updated on 15 April 2026, reflecting their current position as Machine Learning Data Associate at Amazon in Seattle, WA, United States.

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