Summary
Riccardo Confalonieri is a Data Scientist with nine years of professional experience and a master's in Data Science from Università degli Studi di Milano‑Bicocca, specializing in AI applications for medical, biomedical, and life sciences. He blends strong Python and computer vision skills with hands-on experience deploying production-grade GenAI systems—building multi-LLM conversational agents and RAG pipelines using LangGraph and LlamaIndex on Azure. Comfortable across the ML lifecycle, he designs modular, containerized architectures delivered via Kubernetes and CI/CD and has optimized real-time CNNs and GAN-based data augmentation for industrial food-contaminant detection. Colleagues describe him as pragmatic and team-oriented, able to translate research ideas into efficient, production-ready solutions that meet strict latency and operational constraints. Based in Meda, Italy, he’s actively exploring agentic AI patterns and efficiency gains in algorithms, combining curiosity about algorithmic trade-offs with a focus on impactful healthcare use cases.
9 years of coding experience
1 year of employment as a software developer
Master's degree, Data science, 110L, Master's degree, Data science, 110L at Università degli Studi di Milano-Bicocca