Ian Shen is a Senior Data Scientist and Tech Lead based in Utrecht with 10 years of experience turning GenAI and ML research into production-grade products. He leads LLM-based applications, agentic workflows, and evaluation pipelines while building ML infrastructure and MLOps practices that keep models deployable and monitored at scale. His background spans clinical NLP research during a PhD to telecom and consumer applications such as voice transcription and email analysis, giving him a rare bridge between biomedical text mining and commercial AI products. Ian is skilled at collaborating with product and operations teams to translate ideas into measurable business outcomes and mentors engineers in CI/CD and model monitoring. He favors pragmatic, reproducible systems—bringing tools like Docker, Airflow and MLflow into production—and has a track record of shipping solutions that prioritize both accuracy and operational robustness.
10 years of coding experience
8 years of employment as a software developer
Bachelor, Information System and Information Management, Bachelor, Information System and Information Management at Anhui University
Ph.D., Applied Data Science, Ph.D., Applied Data Science at Leiden University
MSc, Business Informatics, MSc, Business Informatics at Utrecht University
Contributions:19 commits, 17 pushes, 1 branch in 9 months
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