Summary
Dylan Valerio is a Senior Machine Learning Engineer with over a decade of hands-on experience designing and deploying end-to-end ML systems, from research-grade models to production recommendation, retrieval, and agentic LLM workflows. He blends deep technical expertise in PyTorch, TensorFlow, Spark, MLflow and Airflow with pragmatic MLOps practices to ensure models are tightly integrated with business metrics and monitoring. Dylan has led ML efforts across industries—education, telecom, and SaaS—holding senior roles at Course Hero, Globe Telecom, SYKES, Conexiom and now Loopio, and he advocates individual ownership and rapid, trust-based execution. With a Master’s in Computer Science from the University of the Philippines and a background that predates the formal “ML engineer” title, he brings both historical perspective and up-to-date deployment skills on AWS, Databricks, and Docker. A versatile practitioner, he pairs software architecture know-how with data engineering chops to move experiments into reliable, production-grade services.
11 years of coding experience
13 years of employment as a software developer
Bachelor of Science, Computer Science, Bachelor of Science, Computer Science at Ateneo de Manila University
Université catholique de Lille
Master's degree, Computer Science, Master's degree, Computer Science at University of the Philippines