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A USC master’s graduate in Computer Science with a focus on Machine Learning - Computer Vision. A business-minded technologist with 4 years of proven track record in applying deep learning to tackle problems in various sectors; insurance, construction, aggregate, energy, food, and fashion. I am always eager to apply my humble knowledge to places where no one has tried before. Hence, learn more.
University of Southern California
Master’s Degree, Computer Science
January 1, 2014 – January 1, 2016
State University of New York College of Agriculture and Technology at Cobleskill
Bachelor of Science (BS), Information Technology
January 1, 2010 – January 1, 2011
Jordan University of Science and Technology
Bachelor of Science (BS), Computer Science
January 1, 2008 – January 1, 2012
Staff Machine Learning Engineer
April 1, 2025 – Present
Mountain View, California, United States
Roku Inc.
Senior Machine Learning Engineer, Search and Recommendation
August 1, 2021 – April 1, 2025
San Jose, California, United States
Tubi
Senior Machine Learning Engineer
December 1, 2019 – July 1, 2021
San Francisco, California
Kespry
Machine Learning Team Lead
August 1, 2019 – December 1, 2019
Kespry
Machine Learning Engineer
March 1, 2017 – December 1, 2019
Fitly
Team Lead Machine and Deep Learning Engineer
November 1, 2016 – March 1, 2017
Santa Monica Blvd, Santa Monica, CA 90401
Fitly
Machine and Deep Learning Engineer
January 1, 2016 – November 1, 2016
Santa Monica Blvd, Santa Monica, CA 90401
University of Southern California
Graduate Research Assistant
May 1, 2015 – January 1, 2016
Docpoint
Software Engineer
June 1, 2013 – January 1, 2014
Amman, Jordan
Jordan University of Science And Technology
Teacher Assistant
January 1, 2013 – July 1, 2014
Jordan
ChoozOn
Research Developer
June 1, 2012 – September 1, 2012
GCOM Software INC
Java Developer
January 1, 2011 – April 1, 2011
Albany, New York Metropolitan Area
Multimodal Brain Tumor Segmentation
January 1, 2016 – May 1, 2016
Developed a system to detect and locate the up-normal tissues in the brain from MRI images using Deep Learning.
Apple Watch Application - Directed Research
January 1, 2015 – Present
The main target of this project is to build an Apple Watch Application which will alleviate the fact that people check their phone screen nearly 100 times a day and mostly its not for useful information. Thus our project brings useful information such as weather or stock to the user on the Apple Watch in a more useful and clean manner.
Cultural Fit Analysis
The candidate's career trajectory, moving from research to various industry roles, including startups (Fitly, Kespry) and large corporations (Roku, LinkedIn), demonstrates adaptability and a willingness to work in diverse environments. Their focus on practical, deployable ML solutions aligns with a results-oriented culture. The progression to leadership roles indicates ambition and a desire for impact.
Soft Skills & Operational Fit
The candidate's experience as a Team Lead and Staff Engineer suggests strong leadership, project management, and collaboration skills. Their work on building in-house platforms and managing data lifecycles indicates a proactive and systematic approach to ML operations. The descriptions imply an ability to translate complex technical concepts into actionable insights for decision-making.