Summary
Yuxiang Hou is a Software Engineer II with nine years of experience building large-scale, data-driven systems across Amazon, DoorDash, Tempus, and Microsoft, now based in New York. He blends ML and engineering expertise—implementing production ML ranking and auction logic, large-scale ETL pipelines, and inventory optimization LP models that saved Amazon $25M. At DoorDash he led ad product implementations that drove roughly $15M in revenue and improved system reliability with sophisticated caching and integration work. Comfortable across Java, Python, Scala, Spark, TensorFlow, and cloud platforms (AWS/GCP/Azure), he ships resilient services backed by SQL/NoSQL stores and distributed systems patterns. A USC data science graduate, he has hands-on experience turning research ideas into production (e.g., disaster analytics, topic modeling, and clinical data pipelines) and routinely pairs ML algorithms with pragmatic engineering for measurable impact. Colleagues would note his mix of research curiosity and delivery focus—able to bridge algorithmic design and high-throughput production systems.
9 years of coding experience
6 years of employment as a software developer
Master's degree Data Science and Engineering, Master's degree Data Science and Engineering at University of Southern California