Stiven Metaj is an AI Developer with eight years of experience bridging distributed systems and data science, currently building ML methodology and tooling for non-financial risk at UBS. He holds top honors degrees from Florence and Politecnico di Milano and cut his teeth on networks and VANET research before pivoting to machine and deep learning. At CERN he developed and compared anomaly detection models for cloud infrastructure, delivering solutions that balance operational monitoring with academic rigor. A former Vice-President of the PoliMi Data Scientists association, he pairs hands-on engineering (Docker, Spark, TensorFlow, OpenStack) with community leadership and teaching experience. Outside work he composes and releases electronic music, a creative outlet that underscores his pattern-oriented thinking and attention to craft.
8 years of coding experience
3 years of employment as a software developer
High School Diploma, Computer Science, 100/100, High School Diploma, Computer Science, 100/100 at ITIS “Leonardo Da Vinci” , Firenze
Bachelor's degree, Computer Science and Engineering, 110/110 with Honors, Bachelor's degree, Computer Science and Engineering, 110/110 with Honors at Università degli Studi di Firenze
Master's degree, Computer Science and Engineering, 110/110 with Honors, Master's degree, Computer Science and Engineering, 110/110 with Honors at Politecnico di Milano
Our project for the "Data Intelligence Applications" exam at Politecnico di Milano. The project was about Social Influence and Pricing techniques applied to networks.
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