Summary
Zhenyu Li is a founder and senior data scientist with eight years of experience building production ML and analytics systems across financial services, healthcare, and startups. He led end-to-end projects from novel Transformer-based NLP early warning systems that materially improved risk detection to EHR summarization tools using FHIR schemas, and has hands-on expertise in containerization, FastAPI, CI/CD, and observability. At EY and Munich Re he delivered measurable business impact—accelerating audits, reducing documentation time, and resolving critical pipeline performance issues to ensure reliability at scale. Trained in Industrial Engineering with minors in Computer Science and Studio Art, he blends technical rigor with a creative sensibility, reflected in a coder-artist GitHub presence. Now building coni, he applies product-minded, environmentally conscious design to physical goods while maintaining a strong engineering craft. Notably, he pairs research experience in lifelong topic models and vision with practical deployment skills, making him adept at turning novel ML ideas into robust, auditable systems.
8 years of coding experience
2 years of employment as a software developer
Bachelor’s Degree Industrial Engineering. Minors: Computer Science Studio Art, Bachelor’s Degree Industrial Engineering. Minors: Computer Science Studio Art at Lehigh University
High School, High School at Saint Edward's School
mandrian, Chinese, English