Summary
Rosario Scavo is a Machine Learning Engineer with 8 years of experience building reproducible, real-time ML workflows spanning computer vision, data science, and backend systems. He co-developed ENIGMA-51, a 22-hour industrial egocentric video dataset with 275k+ annotations and accompanying benchmarks and code, and drove an 8.64-point improvement on THUMOS’14 for low-latency action detection. He routinely bridges research and production—adapting SOTA models, containerizing pipelines to resolve CUDA/dependency issues, and using tools like PyTorch, MLflow, Docker, FastAPI, and AWS to deliver deployable systems. Rosario also designs hands-on, code-first ML curricula and labs that emphasize leakage-safe evaluation, calibration, and end-to-end reproducibility. Comfortable across Python ML stacks and Java-backed distributed systems, he is open to remote roles or relocation within Europe.
8 years of coding experience
3 years of employment as a software developer
High School: Technical and Professional Institute Diploma, Computer Science, High School: Technical and Professional Institute Diploma, Computer Science at ITIS E. Fermi - R. Guttuso
Erasmus Programme, Computer Science, Erasmus Programme, Computer Science at University of Groningen
English Language and Literature/Letters, English Language and Literature/Letters at Bell St Albans
Master's degree, Artificial Intelligence, Master's degree, Artificial Intelligence at Università di Catania
English, Italian