Shrouk Mansour is a Senior Machine Learning Engineer and Teaching Assistant at Cairo University's Faculty of Computers and AI with 9 years of hands-on experience across ML, Computer Vision, NLP and speech. She combines academic rigor—currently pursuing a master’s in Machine Learning—with production delivery, having built and deployed OCR, multi-camera multi-object tracking, speech emotion/gender detectors and microservice-based e-learning platforms. Proficient in PyTorch, Keras, OpenCV and full-stack web frameworks, she bridges research and engineering to ship reproducible, containerized APIs. Her implementations include a 12 FPS multi-camera tracker with low Re-ID error and speech models reaching 98%+ gender accuracy, demonstrating an emphasis on practical performance. As an instructor she distills complex concepts for students and cross-functional teams, turning research insights into teachable modules and production code. Based in Egypt, she pairs strong research instincts with a developer’s focus on reliability and real-world impact.
9 years of coding experience
1 year of employment as a software developer
Bachelor’s Degree, Computer Science, Bachelor’s Degree, Computer Science at Cairo University
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