Summary
Jinlyung Choi is a Head of ML Engineering & Infrastructure with 11 years of experience building cloud-native, production ML systems for biomedical and environmental genomics. He combines a PhD in Chemical and Biomolecular Engineering with hands-on bioinformatics expertise in NGS, multi-omics biomarker discovery, and soil microbiome research, and has moved research-grade pipelines into scalable microservice architectures on AWS. Known for leading cross-functional teams, he designs MLOps pipelines, CI/CD, and containerized workflows while managing model lifecycle, versioning, and inference at scale. His background includes developing high-throughput primer design tools, a soil microbiome reference database, and a C++ co-occurrence network package—work that bridges academic rigor with production engineering. Based in Burlingame, CA, he is adept in Python, R, Java, C++, SQL, and MATLAB and holds machine learning certifications from Coursera and MIT Professional Education.
11 years of coding experience
16 years of employment as a software developer
Bachelor of Science (BS) Biotechnology Engineering, Bachelor of Science (BS) Biotechnology Engineering at Inha University
Doctor of Philosophy (Ph.D.) Chemical and Biomolecular Engineering, Doctor of Philosophy (Ph.D.) Chemical and Biomolecular Engineering at University of Tennessee, Knoxville
English, Korean