Eli Belash
Senior Software Engineer at Sharegain
Haifa District, Israel
Summary
🤩
Rockstar🎓
Top SchoolEli Belash is a Senior Software Engineer with 12 years of experience building high-performance trading systems, scientific libraries, and ML tooling from Haifa, Israel. He combines deep .NET expertise with hands-on machine-learning engineering, contributing significant fixes and features to the popular TensorFlow.NET bindings and helping evolve SciSharp's NumSharp ecosystem. As a former tech lead and architect for a technology-driven hedge fund and lead engineer at SciSharp STACK, he bridges quantitative research, production-grade software design, and performance-oriented C# development. His background as an educator in the Israeli Air Force Technological Academy gives him a practical, disciplined approach to complex hardware-adjacent problems and mentorship. Notably, he gravitates toward hard problems—optimizing tensor allocation, encoding, and graph operations—preferring technical depth over easy solutions.
12 years of coding experience
5 years of employment as a software developer
Practical Engineer, Electrical and Electronics Engineering, Practical Engineer, Electrical and Electronics Engineering at Israeli Air Force Technological Academy
English, Hebrew, Russian
Github Skills (8)
machine-learning10
tensorflow10
csharp10
dotnet-core10
deep-learning9
netstandard8
numpy8
keras6
Programming languages (8)
Github contributions (5)
SciSharp/TensorFlow.NET
Jul 2019 - Dec 2019
.NET Standard bindings for Google's TensorFlow for developing, training and deploying Machine Learning models in C# and F#.
Role in this project:
ML Engineer
ML EngineerContributions:143 commits, 14 PRs, 46 pushes in 4 months
Contributions summary:Eli primarily contributed to the TensorFlow.NET bindings for Google's TensorFlow by fixing bugs related to tensor allocation, string encoding, and data handling. They also implemented new features, such as adding tf.nn.in_top_k. Additional contributions included refactoring the DisposableObject and making minor performance optimizations. Further work involved providing unit tests and fixing bugs related to graph operations.
deployingdotnetdevelopingscisharpdeep-learning
Nucs/Regen
Sep 2019 - Jan 2020
Contributions:18 commits, 9 pushes, 3 comments in 4 months
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