Farzad Abdolhosseini

Farzad Abdolhosseini has a diverse work experience that spans over several years. In 2014, they worked as a Database Administrator at Noavaran Saramad Sharif, where they were involved in creating a web platform for Iranian stock market users. Farzad then transitioned to the role of Mobile Application Developer at the same company in 2016. During this time, they also served as a HTC Member for the International Olympiad in Informatics 2017 held in Iran.

In 2019, Farzad joined Xnor.ai as a Machine Learning Engineer, where they conducted research and implemented neural architecture search methods for latency minimization. Farzad also developed a GPU-friendly weighted matching algorithm with potential applications in keypoint estimation.

In 2020, Farzad joined Apple and worked as a Machine Learning Scientist until 2023. It is not specified when exactly they started and finished their role at Fixie.ai, but they held the position of Founding Engineer.

Overall, Farzad's work experience showcases their expertise in machine learning, computer vision, and algorithm development, as well as their involvement in international programming competitions.

Farzad Abdolhosseini completed their education as follows:

From 2017 to 2019, they attended The University of British Columbia and obtained a Master of Science (MS) degree in Computer Science.

Prior to that, from 2013 to 2017, they studied at Sharif University of Technology and achieved a Bachelor of Applied Science (BASc) degree in Computer Software Engineering.

Before university, between 2010 and 2013, they attended Allameh Helli school. No specific degree or field of study information is available for this period.