Gal Bar-nissan

Software Engineer at Visual Layer

Berlin, Germany
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Summary

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Rockstar
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Top School
Gal Bar-nissan is a software engineer based in Berlin with a decade of hands-on experience building scalable backend systems across startups and established tech companies. He has contributed to core product engineering at Dropbox and helped grow infrastructure and ML-focused platforms at Run:AI before joining Visual Layer, demonstrating a track record of shipping reliable services in high-impact environments. Trained in mathematics and computer science (BSc and MSc, Ben Gurion University), he combines strong algorithmic foundations with practical systems engineering. His background includes telecom protocol work (LTE NAS at Marvell) and early-stage product engineering at CloudOn, showing comfort with both low-level systems and cloud-native architectures. Colleagues describe him as a pragmatic problem-solver who bridges research-grade thinking with production delivery.
code9 years of coding experience
job12 years of employment as a software developer
bookBachelor of Science (B.Sc.), Mathematics and Computer Science, Bachelor of Science (B.Sc.), Mathematics and Computer Science at Ben Gurion University
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Stackoverflow

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1reputation
0reached
0answers
0questions
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Github Skills (38)

markdown10
large-image10
novelty-detection10
subsampling10
near10
image10
temporal10
duplicate10
removal10
normal10
data-augmentation10
outlier-detection10
tagging9
image-classification9
image-processing9

Programming languages (4)

TypeScriptShellGoPython

Github contributions (5)

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Contributions:4 pushes, 1 branch in 1 day
galbarnissan/reactapp

Dec 2016 - Dec 2016

Contributions:4 pushes in 1 day
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