Summary
Tom Lin is a systems analyst with 8 years of experience applying data engineering, machine learning, and product-focused analytics across finance, ad tech, and edge-AI domains. He has driven end-to-end data platforms and real-time pipelines (Kafka, TIBCO StreamBase), led RAG adoption efforts, and translated business needs into production ML—doubling recommendation click rates at a startup and delivering a lightweight mask-detector optimized for edge deployment. At MDF he was the first data hire, unifying disparate datasets, replacing manual reports with Tableau dashboards, and using US census linkage to guide territory-level sales allocation. Comfortable both building models and shipping reliable operational systems, he also teaches and documents his work, contributing practical tutorials and reproducible code that colleagues and students regularly cite. Based in Kaohsiung, Tom blends a marketer’s intuition (MBA) with hands-on engineering to turn customer-behavior signals into measurable business impact.
8 years of coding experience
6 years of employment as a software developer
Master of Business Administration - MBA Business Management Marketing and Related Support Services, Master of Business Administration - MBA Business Management Marketing and Related Support Services at National Taiwan University