Summary
Julien Pierret is a Senior Software Engineer specializing in machine learning with nine years of professional experience and a strong academic foundation in mathematics, statistics, and computational statistics. He has a proven track record of taking statistical and ML models from research into production, leveraging a broad tech stack that spans Python, Java/C++, Hadoop/Spark ecosystems, Docker, Helm, and Terraform across Unix and Windows environments. Julien has held senior ML roles at Unit21 and AppFolio and blends hands-on engineering with teaching as an adjunct lecturer at San Diego State University. His background includes deep experience in data engineering and model deployment for enterprise-scale systems at Experian and Digital Risk, demonstrating both production rigor and analytic depth. Notably, he pairs formal statistical training (MS/PhD studies) with practical systems skills, enabling robust, reproducible model pipelines rather than one-off experiments. Based in Olympia, Washington, he brings a pragmatic, cross-disciplinary approach to transforming complex data into reliable, scalable products.
8 years of coding experience
10 years of employment as a software developer
MS Statistics, MS Statistics at San Diego State University
Doctor of Philosophy (Ph.D.), Computational Statistics, Doctor of Philosophy (Ph.D.), Computational Statistics at Claremont Graduate University
Associate's Degree, Business Administration and Management, General, Associate's Degree, Business Administration and Management, General at San Diego Mesa College
English, French