Khaldun Aldarabsah

ML Engineer

https://www.opentalent.in/khaldun-aldarabsah

AI @ LinkedIn

Key Strengths

Extensive experience (14 years) in Machine Learning and Deep Learning, with a clear progression to Staff ML Engineer roles at major tech companies like LinkedIn and Roku.
Strong background in developing end-to-end deep learning solutions, including model design, training, deployment (real-time and batch), and infrastructure (Azure).
Demonstrated leadership experience as ML Team Lead at Kespry and Fitly, involving managing teams, project feasibility studies, and architectural design.
Proficiency in handling various forms of visual data (images, videos) from diverse sources (drones, rovers, satellites) for tasks like classification, segmentation, and detection.
Experience in optimizing ML models for performance (e.g., decreasing CPU inference time) and building tools for error analysis and results visualization.
Academic background with a Master's Degree in Computer Science from the University of Southern California, including research in semi-supervised learning and face recognition.

Cultural & Operational Fit

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.

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About

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.

Top Skills

Deep LearningComputer VisionMachine LearningData VisualizationImage ProcessingPythonJavaMysqlJavaScriptCSSPostgresqlTensorFlowKerasAWS SageMakercaffeFlaskajaxJquerySeabornAWSGoogle Cloud Platform (GCP)SQLNosqlMongoDBGitLeadershipAmazon SqsRabbitmqMatplotlibNumpysklearnSciPyNeural NetworksBack End Web DevelopmentOpencvData AcquisitionData ValidationObject Detection

Education

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

Experience

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

Projects

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.

Key Strengths

Extensive experience (14 years) in Machine Learning and Deep Learning, with a clear progression to Staff ML Engineer roles at major tech companies like LinkedIn and Roku.
Strong background in developing end-to-end deep learning solutions, including model design, training, deployment (real-time and batch), and infrastructure (Azure).
Demonstrated leadership experience as ML Team Lead at Kespry and Fitly, involving managing teams, project feasibility studies, and architectural design.
Proficiency in handling various forms of visual data (images, videos) from diverse sources (drones, rovers, satellites) for tasks like classification, segmentation, and detection.
Experience in optimizing ML models for performance (e.g., decreasing CPU inference time) and building tools for error analysis and results visualization.
Academic background with a Master's Degree in Computer Science from the University of Southern California, including research in semi-supervised learning and face recognition.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit