Anirudh Patel
Head Of Engineering at Semiotic Labs
Berkeley, California, United States
Summary
👤
Senior🎓
Top SchoolAnirudh 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.
8 years of coding experience
6 years of employment as a software developer
Timber Creek High SchoolMaster of Science - (MS) Electrical and Electronics Engineering, Master of Science - (MS) Electrical and Electronics Engineering at Stanford University
English, Gujarati, Hindi, Spanish, Portuguese, German
Github Skills (30)
refactoring10
thegraph9
marketplace8
theia8
semiotic8
vscode6
semantic-release5
indexer5
machine-learning5
vegan5
vscode-extension4
semantic-versioning4
julia4
python3
consistency3
Programming languages (7)
Github contributions (5)
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
graphprotocol/allocation-optimizer
Mar 2022 - Sep 2022
Contributions:1 release, 2 reviews, 70 commits in 5 months
decisionproblemsagentsmachine-learningoptimizing
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