Sergio Govoni
About Sergio Govoni
Sergio Govoni is a Principal Machine Learning Engineer at Barracuda in Campbell, California, specializing in email threat classifiers and natural language processing.
Current Role
Sergio Govoni is currently employed at Barracuda as a Principal Machine Learning Engineer in Campbell, California, United States. His role involves leveraging his specialized skills in machine learning to develop and optimize systems aimed at enhancing cybersecurity measures.
Previous Experience at ForeSee
From 2017 to 2021, Sergio worked at ForeSee in San Francisco, California, United States. During his time as Lead AI Engineer, he contributed significantly to the development and implementation of artificial intelligence solutions. His efforts were integral in enhancing the company's AI capabilities over a span of four years.
Prior Role at ProQuest
Sergio spent nine years, from 2008 to 2017, working at ProQuest in Bethesda, Maryland, United States. As Lead Software Engineer, he played a pivotal role in various software engineering projects and contributed to the growth of the company's technical infrastructure and capabilities.
Early Career at Georgetown University
Sergio began his professional journey as a Senior Software Engineer at Georgetown University in Washington, District of Columbia, United States. He served in this role from 2003 to 2008, focusing on developing and maintaining software systems for the university.
Educational Background
Sergio Govoni studied at Alma Mater Studiorum – Università di Bologna, where he obtained a Laurea (BS/MS) in Computer Science. His academic background provided him with a solid foundation in computing principles and advanced technological concepts.
Expertise in Machine Learning and AI
Sergio specializes in the internationalization of large-scale email threat classifiers. His expertise encompasses ideation, prototyping, validation, scaling, tuning for classification performance and memory footprint, deployment to production, and monitoring. Additionally, he is skilled in automated text classification and categorization, text mining, information retrieval, search engines, and natural language processing.