Summary
Diego Fabiano is a Machine Learning Engineer with nine years of experience building MLOps platforms, ML developer tooling, and production-ready AI applications for large enterprises. He architected and led an MLOps CI/CD platform at Citi that cut model development timelines by 60% and established practices that reduced production issues by 99%, while also driving a $2M annual reduction in experimentation cost. His work includes a high-throughput OCR/NLP system processing over 12 million documents per year and automations that eliminated half a million manual touchpoints monthly. Comfortable leading multiple teams or shipping solo, Diego blends deep applied research—evident from patented multi-modal fusion work and clinical-impactable autism detection models—with pragmatic engineering using tools like Dagster, MLFlow, Docker, and Spacy. Now at Meta in NYC, he continues to focus on scaling ML delivery and developer productivity across complex data ecosystems.
9 years of coding experience
8 years of employment as a software developer
Master's degree Computer Science, Master's degree Computer Science at University of South Florida
Associate’s Degree Engineering, Associate’s Degree Engineering at Hillsborough Community College
English, Spanish