Summary
Chao Qian is a machine learning engineer and technical lead with nine years of experience building large-scale AI and cloud infrastructure across Microsoft and Adobe in the Greater Seattle area. He has driven core Azure ML and Azure OpenAI initiatives—authoring the first AutoML orchestration service, enabling parallel remote runs, and implementing model fine-tuning, distillation, and multi-LoRA inference for production-grade model serving. Comfortable across the stack, his background spans ML research, optimization algorithms for Amazon fulfillment, and full‑stack enterprise apps at Oracle, giving him a rare blend of systems design, applied ML, and operational rigor. He pairs hands-on engineering with product sensibility, having cut service dependency calls by over 84% through architecture improvements, and he brings a practical coaching mindset evidenced by youth soccer leadership outside of work.
8 years of coding experience
9 years of employment as a software developer
Master's degree, Computer Science, Master's degree, Computer Science at Brown University
Bachelor of Science (BS), Computer Engineering, Bachelor of Science (BS), Computer Engineering at Southeast University
Chinese