Ramakrishna Gummadi is a Director of Generative AI Solutions at Google with a decade of experience building production-grade ML and AI systems that prioritize precision, safety and factuality. He combines product-driven leadership with deep technical roots—ranging from networked systems research at MIT and Yale to hands-on engineering at AWS, Microsoft and Target—to bridge research and commercial deployment. As a founder and former CEO of Argonaut AI he operationalized LLMs for Fortune 500 customers via an LLMaaS model that enforced privacy and enterprise-grade reliability. He also teaches graduate machine learning at UC Berkeley, grounding instruction in scalable systems design and software-engineering best practices. Known for applying mathematical rigor (convex optimization, stochastic calculus) alongside practical RL and systems engineering, he repeatedly turns hard optimization problems into deployable services that drive measurable ROI. Based in Auckland, he blends academic pedigree with founder grit to deliver vertically integrated AI solutions that work from day zero.
10 years of coding experience
11 years of employment as a software developer
Postdoc, Networked systems, Postdoc, Networked systems at MIT
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.
Request Free Trial
Ramakrishna Gummadi - Director, Generative AI Solutions