Prerit Shah in

Prerit Shah

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Product Manager - AI Platforms, MLOps and Data Science at Equinor
📍 Houston, Texas, United States

Prerit Shah is an AI product manager at Equinor, leading the strategy for MLOps and data science platforms. With a background in aerospace engineering from Texas A&M and a Masters from the University of Houston, his career has spanned from ensuring reliability for the International Space Station at NASA to developing analytics at GE and Baker Hughes.

Outside of his technology focus, Prerit is passionate about teaching Jain philosophy. He explores its intersection with psychology and neuroscience to improve emotional wellbeing and resilience, and has co-founded a non-profit organization called "Stress Academy" to support this work.

Unique fact: Prerit began his career at NASA, providing decision support for the safety and mission success of the International Space Station.

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Experience
20 Years
Current Role
Product Manager - AI Platforms, MLOps and Data Science
Job Level
Middle
Location
Houston, Texas, United States
Personality Overview

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Communication Style
Decision Approach
Work Preference

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Priorities

Topics Prerit cares about

MLOps Platforms
He leads the product strategy for AI and MLOps platforms at Equinor and has spoken on Kubeflow implementation at multiple industry and internal conferences.
AI in Energy
His career at Equinor, Baker Hughes, and GE has focused on extracting business value from data science and AI within the oil, gas, and energy sectors.
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Career

Work history

1-2023
Product Manager - AI Platforms, MLOps and Data Science
Equinor
1-2020
Principal Data Scientist / MLOps Architect
Equinor
5-2017 - 1-2020
Senior Data Scientist
Baker Hughes
5-2011 - 4-2017
Lead Controls & Analytics Engineer
GE Power
1-2009 - 5-2011
Systems Reliability Engineer
ARES Corporation at NASA
In the press

Media appearances

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Education
2007 - 2011
Masters of Science
University of Houston
2002 - 2006
Bechelor of Science
Texas A&M University
Social presence
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Behavioral profile

DISC profile (public)

DISC behavioral profile

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