Summary
Jash Lee is an AI engineering leader and Member of Technical Staff focused on GPU/HPC supercomputing analytics at Microsoft, with 11 years of hands-on experience building Big Data and AI platforms at massive scale. He architects end-to-end telemetry pipelines and self-service analytics that translate raw GPU cluster signals into executive decision-quality insights on utilization, capacity, and ML training efficiency. Previously he built Copilot’s data infrastructure from 0→1 and scaled platforms powering 500M+ users and billions of events per day, while driving millions in cumulative cost savings through automation and vendor optimization. Jash pioneers LLM-powered agentic workflows that delivered 10x productivity gains across engineering teams and has shipped consumer AI apps on both Amazon and Google Play. Equally comfortable in cloud IaC, SRE, and data engineering, he blends low-level performance optimization with product-minded platform leadership. Based in New York, he pairs military leadership experience with a CS master’s from NYU and a knack for turning messy telemetry into actionable operational leverage.
11 years of coding experience
18 years of employment as a software developer
Master's degree, Computer Science, Master's degree, Computer Science at New York University
Chinese, English, Mandarin