Summary
Donghan Miao is a software engineer with 12 years of experience building low-latency, scalable data pipelines and backend systems, currently contributing to Google Cloud Search and data ingestion platforms at Google in Mountain View. He has a strong foundation in large-scale data processing from his work on Hadoop, Pig, and Hive for Yahoo Search Ads and a background in C++ compiler optimization from an R&D stint at Synopsys. A perfectionist in concise, elegant code, he focuses on cloud computing and backend architecture that support real-time and high-throughput workloads. With an M.S. in Computer Engineering from Northwestern and early teaching experience in data structures and databases, he combines academic rigor with production-grade engineering. Notably, his career blends hands-on systems engineering with partner-facing support tools, showing an ability to bridge deep technical work and customer-facing reliability.
12 years of coding experience
2 years of employment as a software developer
Bachelor's degree, Industrial Engineering, Bachelor's degree, Industrial Engineering at University of Electronic Science and Technology
Master of Science (M.S.), Computer Engineering, Master of Science (M.S.), Computer Engineering at Northwestern univeristy
English, Chinese