Summary
Paolo Iannino is a Senior Software Engineer with 8 years of experience applying machine learning and large-scale data engineering across finance and travel tech, now leading AI work at Avaloq in Zurich. He holds top-ranked computer engineering degrees from Politecnico di Torino and Grenoble INP–Ensimag and combines strong mathematical foundations with practical expertise in Scala, Spark, NoSQL, and ML productionization. Paolo progressed from data science intern roles to principal engineering positions, shipping search, outlier-detection, and Big Data pipelines at Amadeus and Telepathy Labs. Equally comfortable with low-level systems and web GUIs, he pairs rigorous academic training with hands-on systems integration and an interest in parallel computing. A detail that sets him apart is his cross-border education and work trajectory, which sharpens his ability to translate research-grade methods into robust, enterprise-grade AI products.
8 years of coding experience
7 years of employment as a software developer
Master of Science (MS), Computer Engineering, Data Science, 110/110 cum laude, Master of Science (MS), Computer Engineering, Data Science, 110/110 cum laude at Politecnico di Torino
BEST Course on Parallel Computing, 90/100, BEST Course on Parallel Computing, 90/100 at Ural Federal University
Diploma Liceo Scientifico, Prog. Brocca, 93/100, Diploma Liceo Scientifico, Prog. Brocca, 93/100 at IIS Blaise Pascal, Giaveno (Turin)
Master of Science - MS, MOSIG - Data Science, Master of Science - MS, MOSIG - Data Science at Grenoble INP - Ensimag
French, Italian, English