Genna Wingert
High-Performance Computing Developer at Tracel Technologies
Rhein-Neckar Metropolitan Region Germany
Summary
👤
Senior🎓
Top SchoolGenna Wingert is a High-Performance Computing Developer and freelance open-source engineer based in the Rhein-Neckar region of Germany, bringing over a decade of hands-on experience building efficient, low-level systems. She has contributed machine-learning and performance-focused enhancements to the Rust-based Burn deep learning framework—adding activations, deformable convolutions, and auto-tuning/im2col+GEMM optimizations—and improved core functionality and Windows compatibility in the Nushell project. Comfortable across HPC, ML, and systems tooling, she enjoys exploring cutting-edge problems and translating research-grade ideas into practical, performant implementations. As an independent consultant and former tutor in C#/Java, she pairs deep technical curiosity with a customer-facing, collaborative approach.
11 years of coding experience
3 years of employment as a software developer
Heinrich Hertz Schule Karlsruhe
Github Skills (29)
autodiff10
filesystem10
command-line-interface10
machine-learning10
onnx10
file-operations10
deeplearning-ai10
deep-learning10
fileio10
command-line10
neural-network10
rust10
shell10
tensor10
winapi9
Programming languages (10)
Github contributions (5)
tracel-ai/burn
Aug 2024 - Mar 2025
Burn is a new comprehensive dynamic Deep Learning Framework built using Rust with extreme flexibility, compute efficiency and portability as its primary goals.
Role in this project:
ML Engineer
ML EngineerContributions:41 reviews, 29 PRs, 56 comments in 7 months
Contributions summary:Genna made several contributions related to implementing and integrating machine-learning functionality within the Burn framework. Their work included adding the Hard Sigmoid activation function with corresponding ONNX import conversion. The user also contributed to the integration of the deform_conv2d as implemented in torchvision. Further improvements were achieved via the introduction of auto-tuning to `conv2d` and `conv_transpose2d` with a new `im2col`/`GEMM` algorithm along with associated data locality optimizations, and padding improvements.
rustyburnndarraydeep-learningrust
nushell/nushell
Feb 2022 - Mar 2022
A new type of shell
Role in this project:Back-end Developer
Back-end DeveloperContributions:1 review, 12 commits, 10 PRs in 25 days
Contributions summary:Genna primarily contributed to the core functionality of the `nushell` project, focusing on bug fixes and enhancements to the shell's command-line interface. They addressed issues in core commands like `kill` and `save`, improving their functionality and resolving associated documentation problems. Moreover, the user implemented improvements related to shell completion and Windows compatibility, including adding completion options for custom completions and resolving stream printing problems on Windows. The user also added serialization for JSON and form bodies in `post` command and added functionality to handle list of strings in `save` command.
rusttype-ofshellbash
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