Tsur Herman
Founder at RedOcean-Research
Israel
Summary
👤
Senior🎓
Top SchoolTsur Herman is a founder and algorithmic research expert with nine years of professional experience building production-grade AI, computer vision and AR/VR systems, and a longer history of deep technical work dating back to medical imaging and parallel-processing projects. He has led algorithm and software architecture at startups and global companies—driving AR surgical headset productization at Augmedics and inventing depth-sensing and multi-camera optical-flow techniques at Apple—translating research prototypes into market-ready products. Skilled across signal processing, physics-informed ML and even quantum-computing concepts, he blends hands-on optimization (notably contributing efficient, stability-focused matrix inversions to the StaticArrays.jl ecosystem) with product leadership. Based in Israel and trained in mathematics and physics, he excels at turning hard research problems into robust, low-latency systems for constrained devices.
9 years of coding experience
13 years of employment as a software developer
B.Sc, Mathematics and physics, B.Sc, Mathematics and physics at The Hebrew University of Jerusalem
English, Hebrew, Spanish
Stackoverflow
101reputation
5kreached
3answers
3questions
Github Skills (12)
performance-optimization10
linear-algebra10
julia10
testing9
debugging6
image6
computer-vision6
android-ndk6
bitmap6
android6
shared-libraries6
gcc6
Programming languages (8)
Github contributions (5)
JuliaArrays/StaticArrays.jl
Jul 2017 - Aug 2017
Statically sized arrays for Julia
Role in this project:
Back-end Developer
Back-end DeveloperContributions:16 commits, 2 PRs, 27 comments in 10 days
Contributions summary:Tsur primarily focused on improving the `staticarrays.jl` repository, which involves statically sized arrays for Julia. Their contributions centered on optimizing the `inv` and `det` functions for matrices of various sizes, including 2x2, 3x3, and 4x4, ensuring that the implementations matched the behavior of the base Julia functions. They also addressed stability issues related to matrix inversion and made tests more robust by comparing results to Base Julia implementations. The user also implemented efficiency improvements for 2x2 matrix inversion.
slicearraysjulia
TsurHerman/Fezzik
Feb 2019 - Oct 2022
Brute force sysimg building for Julia
Contributions:10 commits, 1 PR, 42 pushes in 3 years 8 months
julia-packagebrute-forcebrutejuliaforce
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