Deepesh Mohnani

Product & AI at Various Startups

Seattle, Washington, United States
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Summary

👤
Senior
🎓
Top School
Deepesh Mohnani is an AI product executive with over two decades of experience building production-scale AI systems and developer platforms, currently leading Product & AI at Atlassian from Seattle. He has a proven track record delivering enterprise-grade AI and payments infrastructure at scale—launching AI products at Amazon that generated $500M+, scaling Coinbase payment systems to handle $1T+ transactions, and pioneering Multi-Agent AI at MSCI to cut decision latency by 45%. Deepesh combines deep technical fluency (LLMs, RAG, MCP, computer vision, MLOps) with product leadership across fintech, Web3, voice, and developer ecosystems, and excels at translating research-grade capabilities into reliable platform products. He advises startups and investors on GenAI, crypto, and scaling, and has repeatedly built reusable AI infrastructure and governance frameworks for regulated industries. Not obvious from titles: he focuses on enterprise prompt engineering and model-context integrations to make large models practical for mission-critical financial workflows. He holds a BS in Computer Science from Purdue and is active in the Seattle startup and investing community.
code14 years of coding experience
job10 years of employment as a software developer
bookBachelor of Science Computer Science, Bachelor of Science Computer Science at Purdue University
bookIndian Language School
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Github Skills (3)

sdk1
webrtc1
ios1

Github contributions (4)

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liveservices/LiveSDK

Jul 2011 - Jun 2012

Contributions:52 commits in 11 months
deepeshm/uberJS

Jun 2015 - Jun 2015

Contributions:6 pushes, 1 branch in 1 day
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