Hassan Saadi is a highly skilled Senior Machine Learning Engineer currently working at FiscalNote since February 2022, with previous experience as a Machine Learning Engineer in the same company. Prior to this, Hassan was a Data Scientist at SFL Scientific for a short period in late 2021. Hassan's academic background includes a Master's degree in Computer Science from Boston University, a Master's degree in Mathematics from The University of British Columbia, and a Master of Science in Theoretical Physics & Cosmology from the American University of Beirut. Additionally, an undergraduate degree in Electrical and Computer Engineering was obtained from the American University of Beirut, complemented by minors in Physics and Philosophy. Professional experience also includes a role as a Design and Site Power Engineer at Dar Al Handasah, with research interests spanning MEMS, Biomedical Engineering, and Computational Physics.
This person is not in the org chart
This person is not in any teams
This person is not in any offices