resume

Research Engineer I

Mohamed bin Zayed University of Artificial Intelligence, BioMedIA Lab

Echocardiography foundation models research under Prof. Mohammad Yaqub

• Researching echocardiography foundation models, extending view-aware pretraining toward temporal-causal objectives and automated clinical report generation.
• Supervising a team of four interns on a multimodal vision-language model for medical image parsing (FLARE 2026, MICCAI).

Machine Learning Engineer (Part-time)

Labib AI

AI solutions for enterprise proposals and on-device deployment

• Designed AI solutions for government and enterprise proposals: visitor analytics, predictive maintenance, and multi-entity inspection ecosystems.
• Benchmarked multi-model edge AI workloads (multi-stream YOLOv8, LLMs, VLMs, Whisper) on Qualcomm Dragonwing IQ-9075 for on-device deployment.
• Engineered a real-time surgical room understanding pipeline integrating Whisper-3, Qwen-2.5, and HRNet, demoed to healthcare professionals via a Django web application.

Computer Vision Engineer, Co-founder

Koralyze AI

Football analytics from broadcast footage

• Co-founded a football analytics company generating tracking and event data directly from broadcast footage for downstream analytics.
• Presented at GITEX Expand North Star 2023; leading partnership development with UAE sports federations.
• Won first place in the UAE IoT & AI Challenge startup category (2023); part of the Khalifa Innovation Center incubation program.

Mathematics Teacher

Ministry of Education

Instructed high school students in AP Calculus AB and BC.

MSc

Mohamed Bin Zayed University of Artificial Intelligence

Computer Vision

• Thesis: EchoVision, a vision-language foundation model for echocardiography using view-aware contrastive pretraining to address view-text misalignment.
• Trained on 4M echocardiography videos (36 TB) using distributed multi-GPU SLURM pipelines; outperforms EchoCLIP on all nine internal regression tasks and PanEcho on six.

BSc

Khalifa University

Applied Mathematics and Statistics

• Optimization of global minima in nonlinear physical systems using metaheuristic statistical models.

CardioBench

Do Echocardiography Foundation Models Generalize Beyond the Lab? (IJCAI-ECAI 2026)

• Co-authored a standardized benchmark evaluating echo foundation models across nine tasks and eight public datasets.

SynSpineMS

Multiple Sclerosis Spinal Cord Lesion Detection from MultiSequence MRIs (MICCAI challenge)

• Led our team's participation in the MICCAI MS-Multi-Spine challenge; finished 2nd overall.

Language and Planning in Robotic Navigation

Vision-Language Navigation for multi-step planning in indoor robotic environments (LM4Plan Workshop, AAAI 2025)

• Evaluated across multilingual (Arabic/English) instruction settings.

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.

Perception Challenge for Bin-Picking

Robust pose estimation 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.