Summary
Samuel Duan is a senior software engineer and data architect based in Paris with 8 years of experience building full-stack applications and production ML systems that drive measurable business growth. He has led end-to-end design and delivery of hybrid API frameworks, lakehouse access, and medallion-architected reporting pipelines that cut costs and sped delivery—one initiative reduced report lead time 98% and saved $7.5K/month. Comfortable from React front-ends to serverless NodeJS, C# backends, Airflow orchestration, and Spark/Databricks, he specializes in marrying real-time and batch workflows for advertising and analytics platforms. Samuel has repeatedly translated models into production—deploying ML, DL and NLP models that boosted clicks and applications while slashing inference latency—and he builds repeatable infrastructure and playbooks so teams can own deployments. He also brings research rigor from a PhD background, leading interdisciplinary teams and mentoring engineers to improve performance and observability across systems. Notably, he combines hands-on coding with strategic partnerships (Databricks, Snowflake) to turn complex data challenges into scalable product features.
8 years of coding experience
10 years of employment as a software developer
Bachelor of Science Electrical Engineering, Bachelor of Science Electrical Engineering at National Taiwan University
Master of Science (Unfinished) Analytics, Master of Science (Unfinished) Analytics at Georgia Institute of Technology
Living Stream Bible Truth and Church Service Training, Living Stream Bible Truth and Church Service Training at Full-Time Training in Anaheim
University of California, Los Angeles