Amog Kamsetty
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Amog Kamsetty Email & Phone Number

AI & ML Infrastructure. Former early ML eng @ Anyscale at OpenAI
Location: San Jose, California, United States 10 work roles 3 schools
1 work email found @berkeley.edu 2 phones found area 408 LinkedIn matched
✓ Verified Jul 2026 4 data sources Profile completeness 86%

Contact Signals · 1 work email · 2 phones

Work email a****@berkeley.edu
Direct phone (408) ***-****
LinkedIn Profile matched
3 free lookups remaining · No credit card
Current company
Role
AI & ML Infrastructure. Former early ML eng @ Anyscale
Location
San Jose, California, United States
Company size

Who is Amog Kamsetty? Overview

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Quick answer

Amog Kamsetty is listed as AI & ML Infrastructure. Former early ML eng @ Anyscale at OpenAI, a with 6880 employees, based in San Jose, California, United States. AeroLeads shows a work email signal at berkeley.edu, phone signal with area code 408, and a matched LinkedIn profile for Amog Kamsetty.

Amog Kamsetty previously worked as Ray Committer at Ray Distributed and LLM & Gen AI Consulting at Anyscale. Amog Kamsetty holds Master Of Science - Ms, Computer Science from University Of California, Berkeley.

Company email context

Email format at OpenAI

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{first}{last}@berkeley.edu
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AeroLeads found 1 current-domain work email signal for Amog Kamsetty. Compare company email patterns before reaching out.

Profile bio

About Amog Kamsetty

https://github.com/amogkamProduct-minded engineer with experience building open source products from scratch (Ray Train, Ray Data) that power distributed AI at industry leaders (Uber, Spotify, Amazon, and more).End-to-end product ownership. I talk to users to identify problems, develop features & improve the product, work with customers to ensure success, and market the features through blog posts & talks.

Current workplace

Amog Kamsetty's current company

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OpenAI
Openai
AI & ML Infrastructure. Former early ML eng @ Anyscale
San Francisco Bay Area
Website
Employees
6880
AeroLeads page
10 roles

Amog Kamsetty work experience

A career timeline built from the work history available for this profile.

Role listed

San Francisco Bay Area

Ray Committer

Current

https://github.com/ray-project/ray/commits?author=amogkam- Top 10 Ray Committer- Co-creator of Ray Train- Core contributor of Ray Data

Apr 2021 - Present

Llm & Gen Ai Consulting

San Francisco, California, Us

LLM/Gen AI consulting for top Anyscale customersTechnical training (collaboration with LlamaIndex team) on building large-scale RAG applications:

Jan 2024 - Jun 2024

Senior Software Engineer, Ray Data

San Francisco, California, Us

- Building Ray Data, the best solution for large-scale unstructured data processing - Data processing for LLM/RAG applications & embedding generation- Generated Anyscale's first revenue for this workload.- Full product ownership: implemented performance & API improvements, led UX studies, closed customers.

Jan 2023 - Jan 2024

Co-Creator And Tech Lead, Ray Train

San Francisco, California, Us

Built Ray Train from scratch, a scalable machine learning library for distributed & fault-tolerant model training. I designed and implemented most of the core functionality in Ray Train, reviewed & guided features from other members of the team, and worked closely with Ray Train users to drive adoption and improve the product.Ray Train now powers production distributed model training at companies like Uber, Spotify, Netflix, Samsara, and Instacart.I also built the keynote demo for Ray Summit 2022

Jun 2021 - Jan 2023

Founding Engineer, Ray Ml Team

San Francisco, California, Us

First engineering hire on the Ray ML team; early engineer at Anyscale (sub-15).Built the Ray ML open source ecosystem through integrations with other ML libraries, providing scalability and distributed execution (PyTorch Lightning, Huggingface, MLflow, XGBoost, Horovod)

Jan 2020 - Jun 2021

Researcher

Berkeley, Ca, Us

August 2018 - July 2020:• Working with Prof. Ion Stoica and Prof. Joe Hellerstein on using machine learning techniques to improve database query optimizer• Deep Unsupervised Cardinality Estimation- http://www.vldb.org/pvldb/vol13/p279-yang.pdf Accepted to VLDB 2020January 2018 - August 2018: • Clipper http://clipper.ai/

Jan 2018 - Jul 2020

Software Engineer

San Francisco, California, Us

Uber Knowledge Graph Team (uGraph)

May 2018 - Aug 2019

Software Engineering Intern

Mountain View, California, Us

May 2017 - Aug 2017
Team & coworkers

Colleagues at OpenAI

Other employees you can reach at openai.com. View company contacts for 6880 employees →

3 education records

Amog Kamsetty education

Master Of Science - Ms, Computer Science

University Of California, Berkeley

Bachelor Of Science (Bs), Electrical Engineering And Computer Science (Eecs)

University Of California, Berkeley

Education record

Saint Francis High School
FAQ

Frequently asked questions about Amog Kamsetty

Quick answers generated from the profile data available on this page.

What company does Amog Kamsetty work for?

Amog Kamsetty works for OpenAI.

What is Amog Kamsetty's role at OpenAI?

Amog Kamsetty is listed as AI & ML Infrastructure. Former early ML eng @ Anyscale at OpenAI.

What is Amog Kamsetty's email address?

AeroLeads has found 1 work email signal at @berkeley.edu for Amog Kamsetty at OpenAI.

What is Amog Kamsetty's phone number?

AeroLeads has found 2 phone signal(s) with area code 408 for Amog Kamsetty at OpenAI.

Where is Amog Kamsetty based?

Amog Kamsetty is based in San Jose, California, United States while working with OpenAI.

What companies has Amog Kamsetty worked for?

Amog Kamsetty has worked for Openai, Ray Distributed, Anyscale, Berkeley Rise Lab, and Uber.

Who are Amog Kamsetty's colleagues at OpenAI?

Amog Kamsetty's colleagues at OpenAI include Derek W., Joseph Mo, Huda Firdaus, Kristian Georgiev, and Anna V..

How can I contact Amog Kamsetty?

You can use AeroLeads to view verified contact signals for Amog Kamsetty at OpenAI, including work email, phone, and LinkedIn data when available.

What schools did Amog Kamsetty attend?

Amog Kamsetty holds Master Of Science - Ms, Computer Science from University Of California, Berkeley.

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