Summary
Yun Wu is an Applied Scientist II based in the San Francisco Bay Area with nine years of experience building production-grade ML and NLP systems for enterprise customers. At Microsoft she develops Conversational AI, Business Q&A, and knowledge-graph driven retrieval components for Azure Cognitive Services, enabling natural-language access to business data. Her background spans deep learning at scale from Hive, real-time/low-power ML research during an Apple internship, and full-stack ML product exposure from early startup and entrepreneurial ventures. She holds an MS in Computer Science from UC Berkeley and a BS in Electrical and Computer Engineering from the University of Washington, combining strong academic foundations with practical product delivery. A former founder and educator, she brings cross-cultural communication and customer-focused product sensibility to technically complex AI projects.
9 years of coding experience
4 years of employment as a software developer
Bachelor of Science - BS, Electrical and Computer Engineering, Bachelor of Science - BS, Electrical and Computer Engineering at University of Washington
Master of Science - MS, CS, Master of Science - MS, CS at University of California, Berkeley