Summary
Alessandro Scirè is a Senior AI Engineer and founding-team member with a decade of experience bridging NLP research and production-grade systems, currently based in Rome. He holds a PhD in Artificial Intelligence from Sapienza University of Rome and has focused his research on factuality evaluation and reliability of large language models, producing resources and metrics such as LLM-OASIS and FENICE. At Babelscape and prior roles he translated academic insights into applied tooling for summarization, retrieval-augmented generation, and modular pipelines that prioritize trustworthiness. Known for combining rigorous evaluation methodologies with engineering pragmatism, he excels at turning interpretability and factuality research into measurable, deployable components. A detail often overlooked: his background spans both deep research and hands-on data science/engineering roles, enabling him to conceive metrics that are both scientifically sound and production-ready.
10 years of coding experience
6 years of employment as a software developer
Ph.D. in Artificial Intelligence National Ph.D. Program, Ph.D. in Artificial Intelligence National Ph.D. Program at Sapienza Università di Roma
Bachelor of Science - BS Engineering in Computer Science, Bachelor of Science - BS Engineering in Computer Science at Università degli studi Roma TRE
Italian, English