Summary
Spandan Mishra is a Head of AI and Data Science based in San Francisco with nine years of experience building production-grade AI systems that scale from zero to thousands of users in months. He combines a PhD in Industrial Engineering & Applied Statistics with hands-on expertise in LLMs (SFT, RLHF), cloud optimization, forecasting, and agentic frameworks to deliver cost-saving, user-centric products. At Palo Alto Networks he led development of RAG-based conversational tools, an automated LLM assessment pipeline that cut human evaluation by 40%, and natural-language-to-SQL interfaces that replaced less usable dashboards. His background spans industrial prognostics, structural health monitoring, and fraud and computer-vision systems for mobility, reflecting an ability to move between research-grade algorithms and pragmatic production deployment. A rock climber and aspiring alpinist, he brings the same disciplined risk-calculation and endurance to leading cross-functional teams and shipping high-impact AI features.
9 years of coding experience
12 years of employment as a software developer
Doctor of Philosophy (PhD) Industrial Engineering & Applied Statistics , Doctor of Philosophy (PhD) Industrial Engineering & Applied Statistics at Florida State University
Bachelor of Engineering Industrial Engineering, Bachelor of Engineering Industrial Engineering at Tribhuvan University, IOE, Thapathali Campus
English, nepalese, Hindi, Bhojpuri, Spanish