Sean Jin is a data engineer with 8 years of experience building production-grade ML and ETL systems, currently at Meta after a role at BRdata where he delivered automated forecasting, anomaly detection, and recommendation pipelines on Azure Databricks. He combines hands-on Spark, MLflow, H2O AutoML, and PyTorch experience with strong SQL and feature-engineering chops, having processed billions of records for projects like IEEE’s concept-tagging and retail demand forecasting. A UCLA MEng student and UCSD BS in Data Science, he has a track record of improving business metrics—such as boosting recommender-driven revenue and cutting backorders—while translating technical results into board-level insights. Sean also has practical teaching and leadership experience from university TA roles and IEEE, reflecting an ability to communicate complex models to diverse stakeholders. An understated strength: he repeatedly operationalizes research-grade models into scalable pipelines that balance automation, monitoring, and business impact.
8 years of coding experience
3 years of employment as a software developer
High School, High School at Chengdu NO.7 High School 成都市第七中学
University of California, San Diego
University of California, Los Angeles
High School Diploma, High School Diploma at Natick Public Schools
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