Hooman Shariati
About Hooman Shariati
Hooman Shariati is a Machine Learning Engineer 5 at Adobe, specializing in Generative AI and Firefly. He has a strong educational background in Electrical and Computer Engineering and extensive experience in machine learning and computer vision.
Work at Adobe
Hooman Shariati has been employed at Adobe since 2023 as a Machine Learning Engineer 5, focusing on Generative AI and Firefly. His role is based in San Jose, California, where he works on-site. In this position, he contributes to the development and implementation of advanced machine learning algorithms and technologies.
Education and Expertise
Hooman Shariati holds a Bachelor of Applied Science (B.A.Sc.) in Electrical and Computer Engineering with a Biomedical Option from the University of British Columbia (UBC), completed from 2010 to 2014. He furthered his education at UBC, earning a Master of Engineering (MEng) in Machine Learning from 2016 to 2018. His academic background provides a strong foundation in both electrical engineering and machine learning.
Professional Background
Before joining Adobe, Hooman Shariati worked at Aupera Technologies Inc. as a Principal Engineer in Machine Learning and Computer Vision from 2021 to 2023. He previously held the position of Senior Software Engineer at the same company from 2019 to 2021. His career also includes experience as a Production Line Manager at Anheuser-Busch InBev for three months in 2014 and as a Software Engineer specializing in Algorithmic Trading at Fidessa from 2014 to 2016.
Achievements in Project Management
Hooman Shariati has demonstrated strong project management skills throughout his career. He has a proven track record of completing projects on schedule and under budget. His experience in leading project groups has enhanced his communication skills and ability to organize tasks effectively, contributing to improved team productivity.
Open Source Contributions
Hooman Shariati maintains a GitHub profile where he showcases various projects. This activity indicates his commitment to open-source contributions and sharing knowledge with the broader community. His engagement in open-source projects reflects his dedication to continuous learning and collaboration within the tech community.