Summary
Diego Amicabile is a Senior Consultant and seasoned full-stack engineer with 13 years of experience blending machine learning, data engineering and natural language processing into production-grade systems. Based in Berlin, he has driven ML model deployment and lifecycle work at HelloFresh and led development of financial and customer-service platforms using microservices, Docker, AWS and NLP stacks like spaCy and Rasa. Currently he supports a major institution’s migration to a containerized microservice architecture, combining hands-on engineering with architectural guidance. His background in mathematics and computer engineering underpins a pragmatic approach to building auditable, scalable data pipelines and ML-driven product features. Notably, he has both managed complex bank integrations and shipped customer-churn and reactivation models in production, demonstrating rare fluency across legacy enterprise systems and modern cloud-native ML tooling.
13 years of coding experience
19 years of employment as a software developer
Computer Engineer, Computer Science, Engineering, Electronics, Control theory, Computer Engineering Master Degree, Computer Engineer, Computer Science, Engineering, Electronics, Control theory, Computer Engineering Master Degree at Università di Pavia
Mathematics, Physics, Mathematics, Physics at Università degli Studi di Modena e Reggio Emilia
English, French, German, Italian, Polish, Russian, Spanish