Salman Quazi
Member Of Technical Staff at Reflection
San Francisco, California, United States
Summary
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Top SchoolSalman 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.
11 years of coding experience
22 years of employment as a software developer
Master of Science - MS Computer Science, Master of Science - MS Computer Science at California State University, NorthridgeSCPD Mining Massive Data Sets, SCPD Mining Massive Data Sets at Stanford University
Stackoverflow
93reputation
10kreached
4answers
1question
Github Skills (63)
cognitive-services10
dotnet10
azure10
azure-sdk9
hugo9
python9
repos9
linux9
websocket9
windows9
rootless9
sdk9
speech9
js9
opentelemetry9
Programming languages (8)
Github contributions (5)
splusq/splusq
Jul 2020 - Feb 2026
Contributions:3 pushes, 1 branch in 5 years 8 months
splusq/splusq.github.io
Dec 2019 - Feb 2026
Contributions:148 pushes, 10 branches, 5 comments in 6 years 3 months
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