Alessio Fiumanò is a Senior Machine Learning Engineer with a decade of experience building production-grade ML and data platforms across finance, insurance, healthcare and startup therapy tech. He combines econometrics and time-series expertise from quant finance with hands-on MLOps, cloud-native deployment (AWS, GCP, Azure) and container orchestration to move models from research to scalable production. His work spans classical ML, deep learning, computer vision and advanced generative AI—deploying LLMs, vector DBs and agentic RAG pipelines—while also owning data engineering, warehousing and pipeline orchestration. Comfortable in C++, Python, Scala and Spark ecosystems, he bridges data science, engineering and product to deliver measurable business impact. Based in London with roots in Italy and Germany, he brings a rare mix of rigorous academic economics training and pragmatic engineering applied to sensitive domains like therapy and financial services.
10 years of coding experience
10 years of employment as a software developer
Two-year Master of Science (MSc), Economics and business management, Two-year Master of Science (MSc), Economics and business management at Università degli Studi di Torino
High School Diploma, High School Diploma at Liceo Scientifico Statale Carlo Cattaneo
Contributions:15 commits, 14 pushes, 1 branch in 3 years
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