Stanley Wang
Cloud Solution Architect (AI And AA), Principal at Microsoft
New York, New York, United States
Summary
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Senior🎓
Top SchoolStanley Wang is a principal Cloud Solution Architect specializing in AI and advanced analytics with over 20 years building high-performance distributed systems across finance, telecom, insurance and industrial IoT. He currently helps life sciences and healthcare organizations operationalize Azure ML and AI services, drawing on deep experience in big data streaming, data lakes, graph analytics, and production ML pipelines. Previously he led big data and IoT architecture at Honeywell and drove enterprise data and compliance platforms at New York Life, consistently translating complex business problems into scalable, cloud-agnostic solutions. Strong academically in pattern recognition and electrical/computer engineering, Stanley pairs research-strength machine learning and NLP expertise with hands-on microservices, Kafka/Spark, and NoSQL implementations. A practical architect who still dives into proofs-of-concept, he’s known for creating reusable frameworks that accelerate IoT and analytics product roadmaps.
10 years of coding experience
23 years of employment as a software developer
Bachelor's degree, Pattern Recognition and Intelligent Control, Bachelor's degree, Pattern Recognition and Intelligent Control at Tsinghua UniversityMaster's degree, Electrical and Electronics Engineering, Master's degree, Electrical and Electronics Engineering at Harbin Institute of TechnologyMaster's degree, Electrical And Computer Engineering, Master's degree, Electrical And Computer Engineering at Rutgers University
EnglishProgramming languages (1)
Github contributions (5)
swanguni/Azure-Synapse-TPC-DS-Benchmark-Testing
Mar 2022 - Apr 2022
Contributions:227 commits, 197 pushes, 1 branch in 1 month
swanguni/map-reduce-patterns
Apr 2016 - Mar 2022
Contributions:3 pushes, 1 branch in 5 years 11 months
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