Summary
Di Lin is a Software Engineer II focused on Core AI platform and tools at Microsoft with nine years of experience building cloud-native IoT and AI infrastructure. At Microsoft she has contributed to Azure Cognitive Services Speech infrastructure and agentic application development, and earlier helped build the Teams Toolkit, MXChip IoT DevKit, and VS Code extensions to streamline developer workflows. Her background spans end-to-end systems—from large-scale image processing and classification pipelines used in smart security deployments to developer-facing tooling that improves productivity. Based in Bellevue, WA, she pairs hands-on engineering with an eye for integrating AI capabilities into platform services. Colloquially driven by "try to code," she blends practical experimentation with production-grade delivery. An unusual strength is her cross-domain fluency across embedded IoT demos up through cloud AI orchestration, enabling her to connect device telemetry to intelligent cloud behaviors.
9 years of coding experience
1 year of employment as a software developer
University of Washington
Bachelor's degree, Electrical, Electronic and Communications Engineering Technology/Technician, Bachelor's degree, Electrical, Electronic and Communications Engineering Technology/Technician at Shanghai Jiao Tong University