Summary
Jason Kim is a founding engineer and ex-data scientist based in San Francisco with eight years of experience building data-intensive applications and machine learning systems. He blends a TypeScript/React frontend with Python-backed services, SQL, and orchestrated data workflows (Prefect, Docker/Kubernetes) to deliver reproducible, production-ready ML. At Expedock he architected Terraform-backed SageMaker environments and deployed a Triton-powered multi-model endpoint handling thousands of daily calls with state-of-the-art extraction performance. His background includes high-impact data science work—time series forecasting, ensemble modeling, and DVC/Mlflow-driven reproducibility—that delivered measurable savings and operational improvements. Comfortable from model fine-tuning (NLP therapy chatbot research) to frontend UX, he combines product-minded engineering with rigorous experiment tracking and deployment discipline.
8 years of coding experience
4 years of employment as a software developer
Valencia High School
Master of Science - MS Health Data Science, Master of Science - MS Health Data Science at Dartmouth College
English, Spanish, Korean