Avram Golbert
SWE Google Research
Tel-Aviv District, Israel
Summary
👤
Senior🎓
Top SchoolAvram Golbert is a seasoned computer vision researcher and software engineer with over a decade of experience applying deep learning, 3D reconstruction, SLAM and AutoML to real-time products used internationally. Currently a SWE in Google Research, he previously led CV R&D at Rafael and built AR persistence systems at Magic Leap, blending device- and cloud-side engineering. His MSc in Mathematics and Computer Science from Hebrew University underpins a research-driven approach—his thesis focused on object detection using geometric and semantic context and his work has been published and presented at international conferences. He has a track record of translating advanced research into deployed systems, collaborating with top Israeli universities and industry partners, and optimizing algorithms for CPU/GPU production constraints. Notably, he has bridged defense, consumer AR, and large-scale industry research, bringing both academic rigor and field-proven engineering to complex perception problems.
11 years of coding experience
10 years of employment as a software developer
Master of Science (M.Sc.), Methematics, Computer Science, Master of Science (M.Sc.), Methematics, Computer Science at The Hebrew University of Jerusalem
English, Hebrew
Github Skills (44)
python10
data-science10
image-classification10
imagenet10
statistics10
machine-learning10
optimizer10
mobilenet10
resnet10
scikit-learn10
efficientnet10
data-analysis10
distributed-training9
pytorch9
mixnet9
Programming languages (4)
Github contributions (5)
aivision2020/common
Jan 2019 - Oct 2023
Contributions:9 pushes, 1 branch in 4 years 9 months
aivision2020/OctSceneScan
May 2018 - Jun 2019
Exploration into efficient SDF handling with deep hierarchical network
Contributions:16 commits, 4 PRs, 22 pushes in 1 year 1 month
handlinghierarchicalsdf
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