Summary
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.
14 years of coding experience
10 years of employment as a software developer
Bachelor of Science Computer Science, Bachelor of Science Computer Science at Purdue University
Indian Language School