Summary
Salman Quazi is a seasoned engineering leader driving generative AI at scale as Director of Engineering for Microsoft Core AI, with two decades of software experience and a decade in leadership roles. He has led Azure Cognitive Services infrastructure and speech platforms that handle tens of millions of audio hours monthly across thousands of nodes and multiple national clouds, blending deep systems design with operational rigor. Known for architecting plugin-based, protocol-agnostic pipelines and high-availability distributed services, he bridges research, applied science, and production engineering. He also has hands-on startup and product-building experience from founding a mobile app company and has formal training in mining massive data sets from Stanford SCPD. Based in Mountain View, Salman combines cloud-native Kubernetes infrastructure expertise with a track record of enabling mission-critical, multi-million-dollar customer solutions.
10 years of coding experience
20 years of employment as a software developer
MS Computer Science, MS Computer Science at California State University, Northridge
SCPD Mining Massive Data Sets, SCPD Mining Massive Data Sets at Stanford University