Amir Alush
CTO & Co-Founder at Visual Layer
Israel
Summary
🤩
Rockstar🎓
Top SchoolAmir Alush is a tech entrepreneur and AI leader with 11 years of experience building and scaling deep learning R&D teams and products. As CTO & Co‑Founder at Visual Layer (acquired by CAMTEK) and former CTO of Brodmann17, he has designed research infrastructure, recruited and led 20+ engineering and research staff, and shipped a dozen AI-driven products across embedded and cloud platforms. His career began in biomedical imaging and academic computer vision, culminating in a Ph.D. in Computer Vision and Machine Learning, which he leverages to bridge cutting‑edge research with practical productization. He has guided AI strategy for startups as Chair of an AI advisory board, hiring senior technical leaders and setting research roadmaps. Known for turning ambitious visions into operational teams and reproducible systems, he thrives at the intersection of deep research and market delivery. Based in Israel, he combines entrepreneurial grit with a commitment to developing people and scalable AI engineering practices.
11 years of coding experience
9 years of employment as a software developer
B.Sc. ( Cum Laude ) Biomedical Engineering, B.Sc. ( Cum Laude ) Biomedical Engineering at Tel Aviv UniversityPh.D Computer Vision and Machine Learning, Ph.D Computer Vision and Machine Learning at Bar-Ilan University
Stackoverflow
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0reached
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Github Skills (39)
image-analysis10
scales10
large-image10
kaggle10
visualization10
near10
subsampling10
novelty-detection10
python10
image-processing10
temporal10
image-classification10
tagging10
image10
cpu10
Programming languages (4)
Github contributions (5)
amiralush/dowhy
Feb 2023 - Nov 2024
DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.
Contributions:32 PRs, 34 pushes, 30 branches in 1 year 9 months
python-libraryfairness-mlpythonassumptionstesting
visual-layer/fastdup
May 2022 - Dec 2022
fastdup is a powerful, free tool designed to rapidly generate valuable insights from image and video datasets. It helps enhance the quality of both images and labels, while significantly reducing data operation costs, all with unmatched scalability.
Contributions:29 reviews, 152 commits, 49 PRs in 7 months
data-curationkaggleduplicate-imagespythonclusters
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