Riccardo Amadio is a Big Data Engineer III with 11 years of hands-on experience building data platforms, ML pipelines and production-grade NLP systems across industry and academia. Currently studying for a Master’s in Artificial Intelligence at the University of Pisa, he combines research in topic modeling and taxonomy-driven search with production work at Agile Lab, having previously led data engineering efforts at Capgemini and Amazon. His background spans conversational AI, computer vision on SageMaker, pipeline orchestration with Airflow/Dagster, and infrastructure-as-code for analytics teams, reflecting a rare mix of research depth and operational rigor. He has also co-founded and shipped product-focused microservice architectures and custom libraries to accelerate data science workflows, demonstrating a bias for practical tooling that speeds delivery. Based in Marche, Italy, Riccardo leverages academic projects to drive real-world solutions for Industry 4.0 and edge AI deployments.
11 years of coding experience
6 years of employment as a software developer
Laura Triennale in Scienze e Tecnologie Informatiche, Scienze Informatiche , 93/110, Scienze informatiche, 93/110, Laura Triennale in Scienze e Tecnologie Informatiche, Scienze Informatiche , 93/110, Scienze informatiche, 93/110 at Università di Camerino
Diploma of computer expert, Informatica, 75, Diploma of computer expert, Informatica, 75 at ITIS G.Marconi JEsi
Master Degree in Computer Science, Curriculum Artificial Intelligence, Scienze informatiche, Master Degree in Computer Science, Curriculum Artificial Intelligence, Scienze informatiche at Università di Pisa
Sobel Filter with padding implemented in python from scratch without using external library
Contributions:5 PRs, 6 pushes, 1 branch in 2 years 7 months
pythonsobel-filterpaddingscratchfilter
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