
Hi, I'm Itamar Tsayag
Neurons, networks, and a never-ending backlog....
Companies I've Worked With

121

AgileMRI

AiVF

GovPlus

Magic Leap

Predev

Sanas AI

Viz.ai
About Me
I'm an AI/ML engineer specializing in computer vision, deep learning, and building intelligent systems. With expertise in cutting-edge technologies, I transform complex problems into elegant solutions that push the boundaries of what's possible with artificial intelligence.
View my resumeFeatured Projects
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AI-Powered Embryo Selection: Advancing IVF with Deep Learning
Developing advanced deep learning models for embryo viability prediction and genetic testing - Improving IVF success rates through state-of-the-art video transformers and multi-modal AI systems

AI-Driven Passport Photo Validation and Processing
Multi-model deep learning pipeline for automated passport photograph validation and processing - Implementing sophisticated computer vision algorithms to ensure strict compliance with international passport photo standards

AI-Powered CT Perfusion Analysis for Acute Stroke Assessment
Deep learning-enhanced pipeline for automated stroke analysis combining classical perfusion imaging with modern AI - Real-time tissue classification to guide life-saving treatment decisions

The Future of Custom Tailoring with AI
AI-driven customizable fashion algorithms for One-to-One Systems - Transform body measurements into perfectly fitted garments using 3D body estimation

Deep Learning MRI Image Restoration: Swin Transformer Architecture
Advanced image restoration framework for novel low-field MRI systems using Swin Transformers - Physics-based noise modeling, multi-slice processing, and joint denoising with 2× super-resolution

Uncovering Strong Lottery Tickets Using Continuously Relaxed Bernoulli Gates
Master's thesis research on discovering sparse subnetworks at initialization using differentiable gating mechanisms - Achieving high accuracy with extreme sparsity in CNNs, Transformers, and Vision Transformers

Real-Time Thermal Obstacle Detection: A Hybrid Computer Vision Approach
Sophisticated thermal obstacle detection system combining classical computer vision with deep learning for autonomous navigation - Detecting power lines, poles, and vertical structures using thermal infrared imagery
Technologies I Work With
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