Summary
Dayou Jiang is a seasoned software engineer based in the San Francisco Bay Area with 11 years of experience building large-scale data infrastructure, distributed systems, and cloud-native data pipelines. He has designed and operated production streaming and batch platforms at Facebook, Cisco, Ancestry, and Cerner, working across Kafka, Spark, Hadoop, HBase, and modern cloud storage. His strengths span end-to-end data engineering—from data modeling and storage design to monitoring, alerting, and visualization—helping teams turn event streams into actionable analytics and ML-ready datasets. Dayou’s background in applied mathematics and statistics, plus hands-on bioinformatics research early in his career, gives him a quantitative edge for designing robust pipelines and feature engineering for ML. Colleagues rely on him for pragmatic architecture trade-offs and cross-team technical collaboration on high-throughput, reliability-focused systems.
11 years of coding experience
8 years of employment as a software developer
Independent Coursework
Master of Science (M.S.), Statistics, Master of Science (M.S.), Statistics at Kansas State University
Bachelor of Science (B.S.), Applied Mathematics, Bachelor of Science (B.S.), Applied Mathematics at Xiamen University