Julian Rogawski
Greater Koblenz Area Germany
Summary
🤩
Rockstar🎓
Top SchoolJulian Rogawski is a software developer turned indie game developer and content creator with six years of professional experience and an MSc in Computervisualistik. He has shipped production software at companies like 1&1 and wizAI Solutions, and now combines technical depth with creative practice as a self-employed developer and technical artist. His open-source work includes nn_vis, a visualization tool that leverages GPU compute shaders and SSBOs to declutter neural network architectures and accelerate model inspection—illustrating a strong blend of graphics, performance optimization, and tooling. Comfortable across full-stack and GPU-accelerated pipelines, he brings a researcher’s attention to visualization and UX while iterating quickly on games and interactive projects. Based in the Greater Koblenz Area, he pairs academic rigor with hands-on engineering and a knack for turning complex models into approachable visual experiences.
6 years of coding experience
6 years of employment as a software developer
Master of Science - MS, Computervisualistik, Master of Science - MS, Computervisualistik at University of Koblenz and Landau
Github Skills (11)
opengl10
compute-shader10
python10
data-visualisation9
data-visualization9
data-visualizations9
user-interface9
multithreading7
machine-learning6
openvr5
virtual-reality5
Programming languages (4)
Github contributions (5)
julrog/nn_vis
Mar 2020 - Jan 2023
A project for processing neural networks and rendering to gain insights on the architecture and parameters of a model through a decluttered representation.
Role in this project:
Full-stack Developer
Full-stack DeveloperContributions:2 releases, 152 commits, 16 PRs in 2 years 10 months
Contributions summary:Julian's commits primarily focus on the development of a neural network processing and rendering project, including building components for a graphical user interface, and implementing compute shader functionality to improve performance by moving edge calculations to the GPU. The user has also focused on improving the structure and performance of the codebase, switching core data structures to SSBOs, and adding a more comprehensive range of tools in the UI. The user has also added a test environment for testing the neural network model.
representationrendering-engineparametersvirtual-realitydeep-learning
julrog/replanet
Jan 2020 - Mar 2020
Contributions:69 pushes, 12 branches in 1 month
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