Anirudh Patel

Head Of Engineering at Semiotic Labs

Berkeley, California, United States
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Summary

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Senior
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Top School
Anirudh Patel is a results-driven Head of Engineering based in Berkeley with 8 years of experience building and scaling AI-driven products and high-performing teams. At Semiotic Labs he led a post-downsizing recovery that boosted engineering productivity by 500% through Agile practices and improved CI/CD, while translating client requirements on a $60M contract into clear OKRs that aligned engineering output with business value. His hands-on background as a Senior Research Scientist includes productionizing a Julia optimizer for allocation problems, a text-to-SQL system, and a Python dynamic-pricing library using bandit algorithms that increased revenue in production. Earlier work at Sandia National Laboratories focused on multi-agent reinforcement learning and computer vision and helped secure multiple large research grants, including one around $20M. He combines deep technical expertise in AI/ML and optimization with practical product delivery and team-building skills, and often bridges the gap between research proofs-of-concept and production-grade systems. Unusually for an engineering leader, he pairs academic rigor from Stanford with demonstrated operational turnaround experience, making him effective across strategy, research, and execution.
code8 years of coding experience
job6 years of employment as a software developer
bookTimber Creek High School
bookMaster of Science - (MS) Electrical and Electronics Engineering, Master of Science - (MS) Electrical and Electronics Engineering at Stanford University
languagesEnglish, Gujarati, Hindi, Spanish, Portuguese, German
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Github Skills (25)

thegraph10
theia9
refactoring9
semiotic8
vscode8
programming-language8
algorithms8
marketplace7
rust6
vscode-extension6
pythonic5
vegan4
semantic-release4
julia4
python3

Programming languages (10)

JuliaMDXTypeScriptC++RustSolidityJavaScriptPHP

Github contributions (5)

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semiotic-ai/TheGraphData.jl

Sep 2022 - Jun 2024

Package to query data from The Graph Protocol
Contributions:2 releases, 4 PRs, 60 pushes in 1 year 9 months
querygraph-protocolthe-graphgraphqlgraph
anirudh2/ee267-vr

May 2018 - Jun 2018

Contributions:39 commits, 34 pushes, 1 branch in 1 month
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