Péter Gyarmati
Research Assistant
Zurich, Zurich, Switzerland
Summary
🤩
Rockstar🎓
Top SchoolPéter Gyarmati is a Research Assistant and Principal Software Engineer with seven years of experience building production-ready AI and full-stack systems that bridge academic research and industry practice. Based in Zurich, he architects visual analytics and AI engineering solutions—ranging from cloud-native RAG pipelines and DuckDB-powered BI platforms to Excel-bridging libraries that let analysts run Python-backed models from familiar interfaces. His work at MBZUAI produced a machine-queryable catalog of 744 visualization guidelines and a hybrid LLM + symbolic solver prototype, reflecting a focus on verifiable, human-centered AI for visualization. An active contributor to the Ibis project, he has improved visualize functionality, added type hints, and made internal graph representations more memory-efficient. Known for turning research insights into practical tooling, he combines systems thinking with hands-on backend and data engineering across Python, cloud services, and deployment automation.
7 years of coding experience
6 years of employment as a software developer
Master of Science - MS Data Science, Master of Science - MS Data Science at University of ViennaMathematics and Computer Science, Mathematics and Computer Science at International Baccalaureate
English, German, Hungarian, Spanish, Russian
Stackoverflow
1,441reputation
161kreached
3answers
0questions
dart
top-5%
Github Skills (16)
databases10
sql10
python10
graphviz10
database10
data-visualisation9
data-visualization9
dart9
data-visualizations9
bigquery8
postgresql7
bearer-token6
dio6
flutter6
openapi-generator6
Programming languages (15)
Github contributions (5)
ibis-project/ibis
Feb 2024 - Mar 2024
the portable Python dataframe library
Role in this project:
Back-end Developer
Back-end DeveloperContributions:7 PRs, 2 comments in 10 days
Contributions summary:Péter contributed to the Ibis project by addressing documentation issues, specifically fixing typos and adding missing imports in examples. They enhanced the `ibis.visualize` functionality by supporting custom node and edge attributes. Furthermore, the user improved code maintainability by adding type hints to function signatures and modifying the internal graph representation to improve memory efficiency.
polarspythondaskdataframesdata-science
tuw-eeg/real-estate-scrapers
Jan 2022 - Aug 2022
Contributions:58 commits, 17 pushes, 1 branch in 6 months
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