Perry Gabriel is a Cloud Solution Architect with 11 years of experience at Microsoft, specializing in architecting end-to-end cloud-native ML and AI systems that span data ingestion, model development, deployment, and monitoring. He pairs strong software engineering skills in Python, C++, and Java with a background in electrical and computer engineering, enabling pragmatic solutions that bridge hardware-aware thinking and large-scale cloud design. As a trusted technical advisor, he translates ambiguous business goals into production-ready, cost-conscious ML platforms and guides cross-functional teams on architectural tradeoffs. Perry is also pursuing a Master of Information and Data Science at UC Berkeley and spends spare time building ML side projects and designing electronics for retro game consoles—an unusual hobby that reflects his blend of systems-level curiosity and hands-on tinkering.
11 years of coding experience
Master of Information and Data Science (MIDS) Data Science, Master of Information and Data Science (MIDS) Data Science at University of California, Berkeley
Bachelor of Science Electrical and Electronics Engineering, Bachelor of Science Electrical and Electronics Engineering at Florida International University - College of Engineering & Computing
Bachelor of Science Computer Engineering, Bachelor of Science Computer Engineering at Bethune-Cookman University
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Perry Gabriel - Cloud Solution Architect at Microsoft