Paolo Irrera
About Paolo Irrera
Paolo Irrera is a Senior Data Scientist at Jellysmack, with a strong academic background in engineering and philosophy from Télécom Paris and Università Degli Studi Di Genova. He specializes in deep learning methodologies and has experience in computer vision technologies, mentoring junior team members in best development practices.
Work at Jellysmack
Paolo Irrera has been employed at Jellysmack as a Senior Data Scientist since 2018. In this role, he focuses on leveraging data science methodologies to enhance the company's video content strategies. His responsibilities include applying deep learning techniques to various projects, contributing to the development of innovative solutions in the digital media landscape.
Education and Expertise
Paolo Irrera holds a Doctorate in Philosophy, which he completed from 2012 to 2015 at Télécom Paris. He also earned a Master of Engineering from the same institution in 2011. His educational background includes studies at Università Degli Studi Di Genova, where he studied from 2006 to 2009. He specializes in deep learning methodologies and has experience with technologies such as Python 3.6, PyTorch, Gitlab, Airflow, and AWS.
Background
Paolo Irrera began his career with an internship at STMicroelectronics in 2011. He then worked at Eos Imaging in various roles, including Image Processing Engineer and Software Development Engineer, from 2012 to 2018. His experience at Eos Imaging involved applying computer vision technologies and contributing to image processing projects.
Achievements
Throughout his career, Paolo Irrera has mentored junior team members in best development practices, including Test-Driven Development (TDD) and SOLID principles. He acts as a referent for computer vision technologies within his team, providing expertise and guidance. His work includes projects that utilize deep learning for sentiment analysis on video comments and video classification.