Erez Posner
Algorithms Team Leader at Intuitive
Israel
Summary
👤
Senior🎓
Top SchoolErez Posner is an algorithms leader with 11 years of hands-on experience building computer vision, AI, and machine learning systems for surgical and 3D imaging applications. Currently leading an algorithms team at Intuitive, he bridges research and product delivery—taking methods from multi-view stereo, SfM and GCNs into robust clinical-grade solutions. His background spans startups and academia, including stealth-mode real-time 3D video compression work and a senior lecturer role in digital medical technologies, reflecting both deep technical breadth and teaching chops. Early career experience in embedded systems, RF integration and seismic signal analysis gives him a rare systems-level perspective when designing ML-enabled hardware-software pipelines. Colleagues rely on him to translate complex vision research into optimized, deployable systems under regulatory constraints. He pairs an M.Sc. in Electrical and Electronics Engineering with a track record of shipping cross-disciplinary imaging products.
10 years of coding experience
12 years of employment as a software developer
Bachelor's Degree Electrical and Electronics Engineering, Bachelor's Degree Electrical and Electronics Engineering at Afeka Tel Aviv Academic College of EngineeringMaster's Degree Electrical and Electronics Engineering, Master's Degree Electrical and Electronics Engineering at Ben-Gurion University of the Negev
English, Hebrew
Stackoverflow
38reputation
1kreached
1answer
2questions
Github Skills (112)
diffusion-models10
computer-graphics10
cpp10
cudnn10
mesh-processing10
rendering10
cluster-computing10
computer-vision10
nlp10
opengl10
volume-rendering10
odometry10
cuda10
point-cloud10
pytorch10
Programming languages (5)
Github contributions (5)
erezposner/erezposner.github.io
Jan 2021 - Aug 2023
my website
Contributions:1 PR, 5 pushes, 2 branches in 2 years 8 months
erezposner/Fast_Dense_Feature_Extraction
Apr 2019 - Jul 2020
A Pytorch and TF implementation of the paper "Fast Dense Feature Extraction with CNNs with Pooling Layers"
Contributions:4 commits, 1 PR, 5 pushes in 1 year 2 months
pytorchextractionfeature-extractiondeep-learningcnns
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