Summary
Fabio Curi is an MLOps engineer with nine years of experience building production-grade AI and computer vision systems, currently driving MLOps at DSB from Portugal. He blends deep academic foundations—a Master's in AI from VU Amsterdam and engineering degrees in environmental and mechanical fields—with hands-on roles across research labs, startups, and international organisations including OECD and Barcelona Supercomputing Center. Fabio has moved models from prototype to scale as an AI Data Engineer and Site Reliability/MLOps practitioner, connecting research-grade deep learning work to reliable deployment pipelines. He is comfortable across the stack: data engineering, model training, CI/CD for ML, and production reliability, informed by early research in ecological and oceanographic signal analysis. Not obvious from titles alone, he pairs a multidisciplinary scientific background with practical SRE instincts, which helps him translate complex model behaviour into operational observability and robust systems. Based in Caldas da Rainha, he combines a coder’s curiosity with a pragmatist’s focus on shipping measurable impact.
9 years of coding experience
6 years of employment as a software developer
Masters in Artificial Intelligence, Masters in Artificial Intelligence at Vrije Universiteit Amsterdam (VU Amsterdam)
Bachelors degree Fluid Mechanics, Bachelors degree Fluid Mechanics at Toulouse INP
Bachelors degree Mechanical and Industrial Engineering, Bachelors degree Mechanical and Industrial Engineering at Universidade Federal de Pernambuco
Masters degree Environmental Engineering Technology/Environmental Technology, Masters degree Environmental Engineering Technology/Environmental Technology at Hamburg University of Technology
Portuguese, French, Spanish, English, German, Catalan, Swedish, Italian, Arabic