resume
This page will contain my career resume. Last updated 04/02/2026
Contact
| Name | Ahmed Atef Ahmed Aly |
| Label | Researcher |
| ahmed.aly@mbzuai.ac.ae | |
| Personal | ahmedatefahmedaly@gmail.com |
Work
-
2025.05 - 2025.07 LabibAI
Machine Learning Engineer, Intern
Project: Real-time surgical room understanding
- Developed the core pipeline integrating pose estimation and speech recognition to reduce wrong-site surgeries.
-
2023.01 - 2024.08 KoralyzeAI
Computer Vision Engineer
Co-founded a football analytics company specializing in the generation of tracking and event datadirectly extracted from football broadcast footage
- Won First place in UAE IoT & AI Challenge startup category (2023).
- Part of Khalifa Innovation Center Incubation Program
-
2020.08 - 2024.08
Education
-
2024.08 - 2026.05 Abu Dhabi, UAE
MSc
Mohamed Bin Zayed University of Artificial Intelligence
Computer Vision
- Test time prompt tuning of echocardiography foundation models
-
2016.08 - 2020.05 Abu Dhabi, UAE
BSc
Khalifa University
Applied Mathematics and Statistics
- Optimization of global minima in nonlinear physical systems using metaheuristic statistical models.
Skills
| Machine Learning & Deep Learning | |
| PyTorch | |
| PyTorch Geometric | |
| Computer Vision | |
| Multimodal Learning | |
| Foundation Models | |
| Video Understanding | |
| Representation Learning |
| Computer Vision Engineering | |
| Object Detection | |
| Multi-object Tracking | |
| Pose Estimation | |
| Re-identification | |
| Event Recognition | |
| Medical Imaging (Ultrasound, MRI) |
| Data & Experimentation | |
| NumPy | |
| pandas | |
| OpenCV | |
| Weights & Biases | |
| Large-scale Data Pipelines |
| Software & Tools | |
| Python | |
| Git | |
| Linux | |
| Docker |
| Communication | |
| Technical Writing | |
| Presentations | |
| English (IELTS 8.0) | |
| Arabic (Native) |
Projects
- 2025.05 - 2025.06
SynSpineMS
Multiple Sclerosis Spinal Cord Lesion Detection from MultiSequence MRIs
- Led and coordinated our team’s participation in the MICCAI MS-Multi-Spine challenge and submission packaging; finished 2nd overall
- 2025.01 - 2025.04
NeuroGNN
Diagnosing Autism Spectrum Disorder using Multimodal Brain Connectivity Network
- Developed a graph-based fMRI analysis pipeline for autism classification using Graph Attention Networks(GATs), modeling brain functional connectivity across seven subnetworks.
- 2025.01 - 2025.04
Perception challenge for Bin-Picking
Developed robust pose estimation solutions for the most challenging industrial parts in the 2025 BOP Challenge
- Developed a computer vision pipeline for bin-picking automation, integrating object detection, pose estimation, and grasping strategies