Richard Nagyfi
Staff Applied Scientist at Diligent
Budapest, Hungary
Summary
🤩
Rockstar🎓
Top SchoolRichard Nagyfi is a Staff Applied Scientist based in Budapest with a decade of experience bridging academic research and production ML across startups and industry. He has led ML research and data science efforts at organizations from Cambridge Mobile Telematics to FAIRTIQ and now Diligent, combining rigorous research instincts with full-stack engineering chops. An active open-source contributor, he has refactored and extended tooling such as a Python pixel-art generator and added localization and data-crawling capabilities to the high-profile OpenAssistant project. Comfortable teaching and speaking, he also engages in consulting and knowledge-sharing, bringing a practical knack for turning research prototypes into reproducible, deployable systems. Unusually, his side projects reveal a playful curiosity—he describes himself as a “Garfield Pez Toy and Lasagne Lover's Monday” enthusiast—hinting at a creative, human side behind technical depth.
10 years of coding experience
6 years of employment as a software developer
Budapest University of Technology and EconomicsEötvös Loránd University
English, German, Japanese
Github Skills (20)
python10
image-processing10
nextjs10
data-visualizations9
scikit9
machine-learning9
data-visualisation9
scikit-learn9
cli9
jupyter-notebook9
data-visualization9
language-model8
vitual-assistant8
virtual-assistant8
ai8
Programming languages (5)
Github contributions (5)
sedthh/pyxelate
Jan 2020 - Jan 2022
Python class that generates pixel art from images
Role in this project:
Full-stack Developer
Full-stack DeveloperContributions:3 releases, 63 commits, 20 PRs in 2 years
Contributions summary:Richard's primary contribution was to refactor existing code into a Python class, which provides a single point of access to the pixel art generation functionality. They implemented a class-based structure with methods for image conversion and palette generation. Additionally, the user implemented multiple dithering options and added support for transparency.
python
LAION-AI/Open-Assistant
Feb 2023 - Mar 2023
OpenAssistant is a chat-based assistant that understands tasks, can interact with third-party systems, and retrieve information dynamically to do so.
Role in this project:Full-stack Developer
Full-stack DeveloperContributions:19 reviews, 9 commits, 19 PRs in 1 month
Contributions summary:Richard contributed to the project by adding localization files for the website, specifically for the Hungarian language. They updated the website's configuration file to include the new locale. Additionally, the user implemented a Gutenberg eBook crawler notebook that can download and parse texts. This involved setting up a Jupyter Notebook, adding a crawler, and creating the ability to save the results as a dataset.
language-modelpythonpartyassistantchat
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