Tim Schupp
CTO & Founder at Little World
Aachen, North Rhine-Westphalia, Germany
Summary
👤
Senior🎓
Top SchoolTim Schupp is a CTO and founder with 8 years of hands-on experience blending machine learning, NLP and full-stack software development into production-ready solutions. Grounded in a Computer Science education from RWTH Aachen and VU Amsterdam, he moved from a scientific assistant role into leading his own startup, Little World, where he combines leadership with rapid prototyping. He contributes to open-source ML tooling—improving determinism and robustness in RWTH’s RETURNn recurrent-net training framework—which shows his attention to reproducibility and GPU-level debugging. A problem-solver who loves math, logic and puzzles, Tim pairs curiosity-driven learning with practical DevOps and engineering practices to turn ideas into reliable systems.
8 years of coding experience
Bachelor's degree, Computer Science, Bachelor's degree, Computer Science at Vrije Universiteit Amsterdam (VU Amsterdam)Bachelor's degree, Computer Science, Bachelor's degree, Computer Science at RWTH Aachen University
Github Skills (15)
recurrent-neural-networks10
tensorflow10
deep-learning10
gpu10
python10
testing9
repr9
machine-learning9
rep9
algorithms8
numerical-optimization8
algorithm8
code-optimization8
optimization8
optimisation8
Programming languages (8)
Github contributions (5)
rwth-i6/returnn
Feb 2019 - Mar 2022
The RWTH extensible training framework for universal recurrent neural networks
Role in this project:
ML Engineer
ML EngineerContributions:2 reviews, 8 commits, 3 PRs in 3 years 1 month
Contributions summary:Tim focused on improving the robustness and determinism of the training process within the recurrent neural network framework. This involved identifying and addressing non-deterministic operations, specifically related to GPU usage, and adding checks to ensure deterministic behavior. The user implemented tests to verify the determinism of training runs and refactored code to avoid non-deterministic operations where possible, impacting the reproducibility and reliability of the model training. Additionally, the user improved error messages and made configuration improvements.
rwthdeep-learninggpurecurrent-neural-networkstheano
msgmate-io/open-chat
May 2024 - Oct 2024
Open Source Privacy Focused Chat-GPT Alternative with some extra skills
Contributions:3 PRs, 79 pushes, 3 branches in 5 months
aidjangodjango-rest-frameworklarge-language-modelsllms
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