Summary
Sean Tey is a founder and machine learning-focused software engineer with nine years of experience building scalable data and ML infrastructure across healthcare, academia, and petcare industries. He led efforts at Mars to re-architect ETL and inference systems—cutting export latency from hours to seconds, administering AWS GPU clusters, and streamlining model releases with MLflow and containerized deployments. His background spans applied ML research (fMRI memory classification at UCSF), production ML for consumer devices (breathing and eating event detection for Whistle), and practical data science work at UnitedHealth Group. Sean blends hands-on Python engineering, Terraform-driven cloud ops, and CI/CD automation to move models from R&D to production reliably. He is a co-inventor on a patent-pending ML system and maintains a portfolio at seantey.io, reflecting a mix of research curiosity and product-oriented execution. Based in Malaysia, he brings a global perspective from US graduate training in data science and cross-disciplinary collaboration with research labs and industry partners.
9 years of coding experience
6 years of employment as a software developer
Master of Science Data Science, Master of Science Data Science at University of San Francisco
English, Chinese, Malay