resume

This page will contain my career resume. Last updated 04/02/2026

Contact

Name Ahmed Atef Ahmed Aly
Label Researcher
Email 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
    Ministry of Education
    Mathematics Teacher
    Instructed high school students in AP Calculus AB and BC.

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