Michele Filannino
Principal at Prometeia
Milan, Lombardy, Italy
Summary
👤
Senior🎓
Top SchoolMichele Filannino is an AI-focused technology leader with 14 years of experience bridging academic research and industry delivery, holding a Ph.D. in Computer Science and currently pursuing an Executive MBA at SDA Bocconi. As Associate Partner and Head of Generative AI Strategy at Prometeia, he has led cross-functional teams to industrialize 20+ GenAI initiatives for banking and insurance, translating business needs into production-grade NLP and text-analytics solutions. His background includes impactful clinical NLP research at MIT and SUNY Albany, where he co-organized international shared tasks and fostered academia–industry partnerships. Comfortable both coding (contributions to algorithmic Python solutions in the popular Cracking the Coding Interview repo) and steering strategic roadmaps, he combines technical depth with product and governance experience. Known for turning pilot projects into measurable operational gains, he aims to align advanced AI capabilities with tangible business outcomes.
13 years of coding experience
6 years of employment as a software developer
Politecnico di BariB.Sc., Computer Science, B.Sc., Computer Science at Università degli Studi di BariPh.D., Computer Science, Ph.D., Computer Science at The University of ManchesterDiploma di perito tecnico commerciale e programmatore, Accounting and Business/Management, Diploma di perito tecnico commerciale e programmatore, Accounting and Business/Management at ITCS M. Cassandro
English, French, Italian, dialetto barlettano, dialetto andriese
Github Skills (7)
data-structures10
algorithms10
python10
data-structure10
strings9
text-manipulation9
recursion8
Programming languages (7)
Github contributions (5)
careercup/ctci
Jun 2014 - Jun 2014
Cracking the Coding Interview, 5th Edition
Role in this project:
Back-end Developer
Back-end DeveloperContributions:6 commits in 12 days
Contributions summary:Michele primarily contributed solutions to coding interview questions in Python, focusing on algorithms and data structures. They implemented different approaches to solve problems, including using `collections.Counter` for anagram detection, `str.replace()` for string manipulation, and a compression algorithm. Additionally, the user explored different methods to solve a single problem, adding both iterative and recursive solutions, and used zip to find the solution.
cpp5th-editionc-plus-pluscracking-the-coding-interviewcracking
filannim/Temporal-Footprint
Jul 2014 - Mar 2015
Contributions:22 commits, 2 pushes in 8 months
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