Summary
Han Lin is a software engineer with nine years of experience building data-intensive, production ML and infrastructure systems across biotech and generative AI startups in the San Francisco Bay Area. He has led end-to-end platforms handling petabytes of 3D training data, productionized generative 3D models with ONNX-TensorRT, and turned internal ML services into customer-facing real-time features. His background spans from shipping scalable Kubernetes-based workloads and CI/CD for research teams to deploying predictive models that improved DNA production efficiency. Comfortable bridging research and product, he has repeatedly owned core data layers, DevOps, and observability to move prototypes into reliable production. Trained in mathematics, biochemistry, and IT, he brings a rare blend of quantitative science and systems engineering that helps unlock imaginative applications of ML. Colleagues would note his knack for distilling complex research into practical tools that accelerate both R&D and product impact.
9 years of coding experience
8 years of employment as a software developer
Bachelor of Science (BS) Mathematics and Biochemistry, Bachelor of Science (BS) Mathematics and Biochemistry at Union College
Master of Science (MS) Information Technology, Master of Science (MS) Information Technology at Rensselaer Polytechnic Institute
Chinese, Chinese, English