Santiago Jaramillo

Santiago brings a strong background in machine learning, with expertise in MLOps, distributed computation, and data processing, supported by a solid foundation in software development. He is proficient in Python and JavaScript, skilled in writing clean, maintainable code using design patterns, and ensures robust versioning of code, data, and models across projects.

Experienced in the full machine learning lifecycle—from data pipelines and modeling to deployment, monitoring, and CI/CD—Santiago has delivered impactful solutions across industries. At Factored AI, he developed and deployed computer vision and NLP models for clients in logistics and telecommunications, and designed scalable data pipelines for both batch and real-time processing using the Databricks ecosystem and open-source tools.