Summary
Zhuangfei Yang is a Software Development Engineer in Seattle with 10 years of experience building data-driven systems and machine learning infrastructure, currently contributing to Alexa Machine Learning at Amazon. He combines strong programming skills in Python, Java, Scala, R and SQL with hands-on data engineering experience across Hadoop, Spark and AWS to deliver scalable streaming and batch pipelines. Prior roles include advertising big-data processing at Amazon and a data engineering fellowship where he built a real-time clickstream platform using Kafka, Spark Streaming, Cassandra and Flask. His background in ML includes GPU-accelerated neural networks that materially improved recall in healthcare forecasting and practical experience deploying analytics at scale. Trained in Operations Research (M.S., Columbia, 4.0 GPA) with an undergraduate dual perspective in geology and economics, he brings analytical rigor and cross-domain curiosity to complex production problems.
9 years of coding experience
2 years of employment as a software developer
Bachelor of Arts (B.A.), Geology and Economics, Bachelor of Arts (B.A.), Geology and Economics at Peking University
Master of Science (M.S.), Operations Research, 4.0/4.0, Master of Science (M.S.), Operations Research, 4.0/4.0 at Columbia University in the City of New York
English, Chinese