Summary
Kevin Siswandi is a Lead Data Scientist based in Singapore with 12 years of experience building production-grade ML and analytics systems for $500M+ companies across supply chain, telco, education, and banking. He has handled over 100 TB of raw data and moved models from research to resilient production—most recently leading R&D and GenAI projects before joining GlobalFoundries. Fluent in Python, R, and SQL, he executes projects in English, Mandarin, Bahasa Indonesia, and German, bridging multicultural teams and technical domains. His background spans applied mathematics, HPC operations, and medical statistics, giving him a rare mix of theoretical rigor and large-scale engineering pragmatism. An advocate for MLOps/LLMOps, he focuses on delivering actionable insights rather than just models.
12 years of coding experience
8 years of employment as a software developer
High School Science, High School Science at SMA Sutomo 1 Medan
Non-degree Materials Science, Non-degree Materials Science at Imperial College London
Master of Science - MS Mathematics and Computer Science, Master of Science - MS Mathematics and Computer Science at Heidelberg University
Bachelor of Science with Honours Physics, Bachelor of Science with Honours Physics at National University of Singapore
German, Indonesian, English, Chinese