Farah Youssef
@farahyoussef
I am an AI engineer building computer vision and NLP models that improve product performance.
What I'm looking for
I am an AI engineer with over two years of experience building and deploying machine learning and deep learning solutions across computer vision and NLP domains. I have implemented object detection with YOLOv5, pose estimation using MobileNetV3 and EfficientNet backbones, and BERT-based sentiment models using Python, PyTorch, TensorFlow, and Transformers.
At Deep Torch I focused on image and label preprocessing, model evaluation, and optimization to improve model performance and efficiency; I also developed GAN-based text-to-face systems and constructed an Arabic NLP dataset pipeline. I am driven by research-driven projects and strive to deliver deployable AI that produces measurable product impact.
Experience
Work history, roles, and key accomplishments
AI Researcher
Deep Torch
Built and evaluated object detection models using YOLOv5 and improved image/label preprocessing pipelines and tooling to optimize model performance and training efficiency.
Education
Degrees, certifications, and relevant coursework
Tishreen University
Bachelor of Informatics Engineering, Artificial Intelligence
2019 - 2024
Grade: 79%
Activities and societies: Developed projects including 2D human pose estimation (PyTorch; MobileNetV3/EfficientNet), sentiment analysis using BERT, text-to-face generation with GANs (AttnGAN/DCGAN/CGAN), and constructed an Arabic Wiki-like NLP dataset.
Completed a Bachelor of Informatics Engineering specializing in Artificial Intelligence at Tishreen University (Sep 2019–Nov 2024), graduating with a 79% score.
Availability
Location
Authorized to work in
Job categories
Skills
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