AlmogĀ Elharar
Deep Learning Researcher at dataspan.ai
Tel-Aviv, Tel-Aviv District, Israel
Summary
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Top SchoolAlmog Elharar is a Deep Learning Researcher with nine years of experience building computer vision and medical imaging solutions, currently advancing AI at dataspan.ai. He has driven high-stakes detection systems at Medtronic where meeting extremely high AUROC requirements shaped his pragmatic, performance-focused approach to model design and evaluation. With an M.Sc. in Computer Science from Tel Aviv University and a background that blends computer science, psychology and art studies, he brings a multidisciplinary perspective to visual understanding problems. Comfortable across the deep learning stack (PyTorch, TensorFlow, NumPy, scikit-learn), Almog pairs research rigor with production-minded engineering to deliver robust, clinically relevant models. Notably, his early algorithm work at Medtronic Yokneam reflects hands-on experience translating student research into deployable medical vision pipelines.
9 years of coding experience
4 years of employment as a software developer
Master of Science - MS, Computer Science, 89, Master of Science - MS, Computer Science, 89 at Tel Aviv UniversityArt/Art Studies, General, Art/Art Studies, General at Venice International University
English, Hebrew
Github Skills (48)
voc10
converting9
data-augmentation9
image-augmentation8
paddle8
pascal8
building-blocks8
nvidia-docker8
image-processing8
annotations7
pytorch7
audio-processing7
machine-learning7
gpu7
coco7
Programming languages (5)
Github contributions (5)
alicranck/coco2voc
Jan 2018 - Jul 2019
A tool for converting COCO style annotations to PASCAL VOC style segmentations
Contributions:20 commits, 1 PR, 20 pushes in 1 year 5 months
pascalpascal-vocannotationscocovoc
alicranck/instance-seg
Mar 2018 - Jun 2018
instance segmentation with deep metric learning and attention
Contributions:39 commits, 4 PRs, 22 pushes in 3 months
pytorchdeep-metric-learningsemantic-segmentationdeep-learningmetric-learning
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