Stefano Campese
About Stefano Campese
Stefano Campese is an Applied Scientist II at Amazon USA Alexa, specializing in Natural Language Processing. He has a diverse background in academia and industry, with experience in programming, machine learning, and software engineering.
Work at Amazon USA Alexa
Stefano Campese currently holds the position of Applied Scientist II at Amazon USA Alexa, a role he has occupied since 2022 in Los Angeles, California. Prior to this, he worked as an Applied Scientist I at the same organization for five months in 2021. In his current role, he focuses on developing and training models for semantic text similarity tasks using big data.
Education and Expertise
Stefano Campese has an extensive educational background in computer science and related fields. He earned a Bachelor's Degree from Università degli Studi di Padova, where he studied Programming, Computer Science, Computer Security, and Mathematics from 2009 to 2014. He later achieved a Master’s Degree in Artificial Intelligence from the same university from 2015 to 2018. He completed his Doctor of Philosophy (PhD) in Machine Learning and Big Data from 2020 to 2023. Additionally, he has participated in an International Summer School in Machine Learning and Security in 2019.
Background in Teaching and Research
Stefano Campese has experience in academia, having served as a Teaching Assistant at Università degli Studi di Padova from 2019 to 2021. His responsibilities included assisting in courses focused on Management and Analysis of Physics Datasets, Programming 1, and Laboratory of Computational Physics. His doctoral studies emphasize Natural Language Processing tasks, including question-answering and text generation.
Technical Skills and Certifications
Stefano Campese possesses a strong technical skill set, utilizing various programming languages such as Java, Scala, Python, and JavaScript. He is certified in AWS Machine Learning Specialty and is experienced with frameworks and tools including Spring, Angular, Pytorch, Tensorflow, Spark, Hugging Face, and Elastic Search. He also has a GitHub repository that showcases both academic and work-level projects.
Previous Work Experience
Before his tenure at Amazon, Stefano Campese worked in various roles, including as a System Engineer at Sanmarco Informatica Spa in 2013 and as a Chemical Technician at ZETA FARMACEUTICI SPA in 2009. He has also been employed at Omnys as a Machine Learning/Data Scientist/Fullstack Software Engineer since 2015, where he has accumulated significant experience in the field.