Summary
Puifai Santisakultarm is a Senior Machine Learning Engineer with a Ph.D. in Biomedical Engineering and nine years of experience applying ML and statistics to real-world problems across energy, e‑commerce, and life sciences. He has driven end-to-end ML solutions at Amazon—building risk detection systems, scalable Spark pipelines, and SageMaker deployments—and now consults on reusable AI models for renewable energy at E.ON. Comfortable across Python, Spark, deep learning frameworks, and cloud-native tooling (AWS, Docker, SageMaker), he pairs rigorous experimental design with production-grade MLOps. His background in neuroscience and biomedical imaging informs a data-first approach to complex signal and image problems, and he has translated that research rigor into operational SOPs and cost-saving infrastructure improvements. Notably, he has repeatedly bridged research and production—from publishing scientific work and winning fellowships to delivering fraud-detection systems used by large operations teams.
9 years of coding experience
17 years of employment as a software developer
B.S. Biomedical Engineering, B.S. Biomedical Engineering at Illinois Institute of Technology
Ph.D. Biomedical Engineering, Ph.D. Biomedical Engineering at Cornell University
Associate of Science - AS, Associate of Science - AS at Portland Community College
English, Thai, German