Federico Roncallo

Lead AI Computer Vision Researcher @ Trax

About Federico Roncallo

Federico Roncallo is a Lead AI Computer Vision Researcher currently based in Paris, France. He has a background in computer science, with experience in various roles related to computer vision and data science across multiple companies.

Current Role at Trax Retail

Federico Roncallo serves as the Lead AI - Computer Vision Researcher at Trax Retail. He began this role on January 1, 2021, and has been instrumental in advancing the company's capabilities in artificial intelligence and computer vision. His work focuses on developing innovative solutions that leverage AI to enhance retail analytics and improve operational efficiency.

Previous Experience in Computer Vision

Prior to his current position, Federico worked as a Computer Vision Engineer at Trax Retail from 2020 to 2021. He also held a similar role at Qopius from 2019 to 2020, where he contributed to projects in the Paris Area, France. His experience in these roles has equipped him with a robust understanding of computer vision technologies and their applications in the retail sector.

Educational Background

Federico Roncallo completed his Master of Science in Computer Science at Università degli Studi di Genova from 2015 to 2018. He also obtained his Bachelor's degree in Computer Science from the same institution, studying from 2012 to 2015. Additionally, he attended the EDBT 2017 Summer School, focusing on Adding Value to Data.

Research and Development Experience

Federico has a background in research and development, having worked as a Research Engineer and Data Scientist at Safran from 2018 to 2019. He also completed an internship at Laboratoire d'Informatique Paris Descartes (LIPADE) from 2017 to 2018. These experiences have contributed to his expertise in data science and AI applications.

Professional Interests

Federico Roncallo has a strong interest in solving new problems through collaboration. He believes that working together is essential for achieving innovative solutions in the fields of AI and computer vision. This perspective drives his approach to research and development in his current role.

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