Jomana Salah
@jomanasalah
I build AI systems for sign-language recognition, translation, computer vision, and NLP.
What I'm looking for
I co-developed Nabrah, a bilingual Egyptian and English Sign Language recognition and translation system addressing an accessibility gap. I directed custom Egyptian sign-language data collection and annotation across 408 classes, then built preprocessing and deep-learning pipelines for real-time recognition.
I've trained Transformer and BiLSTM models, fine-tuned Flan-T5-base with LoRA for translation, and implemented GPT-2 from scratch in PyTorch. My work also includes YOLO-based object detection, OpenCV visual tracking, ROS2 robotics, and full-stack web applications.
Experience
Work history, roles, and key accomplishments
Frontend Intern
Information Technology Institute (ITI)
Jul 2025 - Aug 2025 (1 month)
Completed a frontend internship at the Information Technology Institute, gaining practical experience in web development.
Education
Degrees, certifications, and relevant coursework
Alexandria National University
Bachelor of Science, Computer Science
Grade: 3.3
Pursuing a Bachelor of Science in Computer Science with a specialization in Artificial Intelligence, expected to graduate in June 2026. Achieved a GPA of 3.3.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
Skills
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