Summary
Jimmy Shah is a Lead Cloud & AI Solutions Engineer with 9 years of experience building cloud-native, high-performance systems and driving AI transformation across enterprises. At Microsoft he has led 18+ AI/ML engagements and a nationwide AI Transformation program, specializing in agentic AI, LLM evaluation, Langgraph integrations, and GPU cluster optimization. His background spans banking and trading systems where he modernized monoliths into microservices, cut latency by 80%, and implemented DevOps practices that shaved time-to-production by up to 70%. He blends pre-sales technical storytelling and hands-on PoCs with deep platform expertise in Azure, Kubernetes, and cloud architecture. Jimmy is as comfortable mentoring large teams and influencing product direction as he is optimizing GPU workloads for LLMs—a mix that drives both technical adoption and measurable cost and performance wins. Based in Old Toronto, he pairs practical delivery experience with an eye for emerging AI infrastructure patterns.
9 years of coding experience
12 years of employment as a software developer
Master in Applied Computer Science, Computer Science, Master in Applied Computer Science, Computer Science at Concordia University
English, french basic