Eric Peter
Product, Gemini Enterprise at Google
California, United States
Summary
🤩
Rockstar🎓
Top SchoolEric Peter is a product leader and computer scientist with 16 years of experience building user-centered ML platforms that bridge engineering, UX, and product. Currently at Databricks, he focuses on next-generation MLOps and ModelOps tooling that boost data science productivity, enforce production sanity for ML engineers, and deliver governance for businesses. He previously led product efforts on Google Cloud AI and advised consumer and tech clients as a project leader at BCG, blending strategy consulting rigor with deep technical fluency. An MBA from Stanford and a BS in Computer Science from Wash U underpin his ability to translate complex ML and enterprise needs into pragmatic, auditable solutions. Notably, he champions cross-functional parity—engineering, UX, and product as equals—to create tools that teams actually adopt.
16 years of coding experience
14 years of employment as a software developer
Master of Business Administration (MBA) MBA, Master of Business Administration (MBA) MBA at Stanford University Graduate School of BusinessBachelor of Science - BS Computer Science, Bachelor of Science - BS Computer Science at Washington University in St. Louis
Github Skills (64)
apache-spark10
observability10
chatgpt10
python10
evaluation10
langchain10
open-source10
typescript10
machine-learning10
mlflow10
model-management10
drawing10
ml10
llm10
prompt-engineering10
Programming languages (6)
Github contributions (5)
epec254/coredatalibrary
Apr 2010 - Dec 2015
Contributions:36 commits, 6 pushes in 5 years 9 months
mlopscommunity/community-survey
Oct 2022 - Dec 2022
MLOps community survey
Contributions:21 reviews, 33 commits, 13 PRs in 1 month
mlops
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