
Ammar Sadeh
@ammarsadeh
I build computer vision and machine learning systems, from YOLO models to Raspberry Pi assistive devices.
What I'm looking for
I've built end-to-end computer vision systems, including Avanti, a chest-mounted Raspberry Pi 5 navigation device for visually impaired users. It combines real-time obstacle detection, monocular depth estimation, SLAM mapping, haptic feedback, OCR, and a voice-driven AI assistant.
For Avanti, I trained a custom YOLOv26 obstacle-detection model on merged COCO, Roboflow, and Open Images data, reaching 74.6% mAP@50, 80% precision, and 70% recall. I've also built vehicle detection and counting with YOLOv8 and SORT, plant disease classification with CNNs, and clustering, classification, and regression models for Facebook metrics analysis.
I'm a Computer Science student with a 90.3/100 GPA and hands-on experience in PyTorch, OpenCV, YOLO, NLP, and embedded AI. I qualified for the advanced stages of Jordan's IEEE CIS AI Research Contest 2026 and have competed in JCPC programming challenges.
Experience
Work history, roles, and key accomplishments
IEEE CIS AI Research Contest 2026
IEEE Jordan Section
Apr 2026 - Aug 2026 (4 months)
Qualified for advanced stages of Jordan's nationwide AI Research Contest, competing against university students and graduates. Applied ML methodologies to real-world challenges and collaborated on technical documentation and presentations.
JCPC Contestant
JCPC Contest
Nov 2025 - Nov 2025 (0 months)
Represented the institution in the JCPC, applying algorithms, data structures, and competitive programming techniques to solve real-time coding challenges.
Piscine Participant
42 Abu Dhabi
Jul 2022 - Aug 2022 (1 month)
Built a strong foundation in low-level programming with a focus on C language fundamentals, including memory management, pointers, control structures, and problem-solving.
Education
Degrees, certifications, and relevant coursework
American University of Madaba
Bachelor of Science, Computer Science
2022 -
Grade: 90.3/100
Activities and societies: Member and participant in IEEE student activities and technical communities; competed in JCPC.
Pursuing a Bachelor of Science in Computer Science with a GPA of 90.3/100 (Excellent). Active in IEEE student activities and competed in JCPC.
Availability
Location
Authorized to work in
Salary expectations
Job categories
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