Summary
Julio Pineda is a Senior Data Engineer in Seattle with 10 years of experience designing production-ready data and MLOps infrastructure that moves models from notebook prototypes to reliable services. He has led cross-functional MLOps initiatives, built serverless time-series forecasting pipelines, and developed probabilistic entity resolution and NLP solutions for healthcare and research organizations. Julio combines academic rigor from his data science work at NIH, Caltech, and JPL with pragmatic software engineering—containerizing models, automating CI/CD, and optimizing distributed compute for large-scale text processing. He’s skilled in ETL, AWS Glue, Databricks, and building data products that power reporting, scheduling, and automated patient communications. Outside of work he publishes personal projects on GitHub and maintains a technical portfolio website that showcases his end-to-end ML systems and NLP tooling.
9 years of coding experience
11 years of employment as a software developer
Bachelor’s Degree Bioengineering, Bachelor’s Degree Bioengineering at University of Washington
English, Filipino, Spanish