Summary
Antonio Feregrino is a Staff ML Engineer based in London with 12 years of experience blending data science and software engineering to operationalise machine learning at scale. He has driven platform migrations (Databricks, SageMaker), productionised streaming propensity models tied to Kafka, and built tooling that empowers data scientists to author pipelines with minimal ops overhead. Known for pragmatic MLOps—automating cluster deployment, permission management and monitoring with tools like MLflow and Evidently—he also mentors engineers and delivers cross-functional training on Python and LLMs. His background spans end-to-end ML work from neural networks and transfer learning to data engineering and mobile/backend development, reflecting a rare full-stack ML-to-production skill set. Outside work he signals a creative, hands-on streak—his GitHub notes "lego bricks" alongside data science and software development, hinting at a playful, systems-building mindset.
12 years of coding experience
12 years of employment as a software developer
The National Polytechnic Institute of Mexico
Master of Science - MS Data Science, Master of Science - MS Data Science at University of Glasgow
Spanish, English