Summary
Kenley Tan is a Head of Machine Learning Engineering with 11 years of experience building and scaling data products in fintech, currently leading ML engineering at GCash. He has shipped end-to-end solutions across credit scoring, recommendations, and fraud detection while standing up MLOps pipelines and helping teams own models in production. Comfortable toggling between strategy and hands-on work, he still debugs dbt jobs in Airflow and deploys models to Kubernetes when needed. A self-taught polyglot, he has full-stack experience with Node.js, Pyramid, and Angular and was once in the top 1% on Kaggle before focusing on product-grade ML. He pairs an MBA from Quantic with deep operational experience in Southeast Asian fintech, and outside work competes in Legends of Runeterra and starts each day with an hour of Kindle reading.
11 years of coding experience
6 years of employment as a software developer
Master of Business Administration - MBA, Master of Business Administration - MBA at Quantic School of Business and Technology
Bachelor of Science (BS) Information Technology Entrepreneurship, Bachelor of Science (BS) Information Technology Entrepreneurship at Ateneo de Manila University