Summary
Shirish Bahirat is a seasoned AI and platform architect with over 25 years of experience translating cutting-edge research into enterprise-scale systems, currently driving generative AI strategy and architectural governance at Google. He combines deep technical expertise in LLMs, multi-modal and foundational models with a strong background in platform design from roles at NVIDIA, Intel, Micron and Seagate, where his work helped generate multibillion-dollar product lines and industry-wide impact. Shirish’s PhD in computer architecture and distributed systems, an MBA, and hands-on innovations in DPUs, hypervisors, real-time scheduling and multi-tenant storage give him a rare ability to bridge hardware, infrastructure and ML model strategy. Known for identifying high-value, agentic AI use cases and building scalable platforms, he partners effectively across engineering and business teams to convert research into measurable product value. Based in Longmont, Colorado, he brings both academic rigor—NSF-funded research and award-winning publications—and practical delivery experience shaping next-generation cloud and AI ecosystems.
9 years of coding experience
25 years of employment as a software developer
Doctor of Philosophy (PhD) Computer Architecture and Distributed Systems, Doctor of Philosophy (PhD) Computer Architecture and Distributed Systems at Colorado State University
MS EE, MS EE at University of Colorado Boulder