Johannes Vass
AI Architect at Nagarro
Vienna, Austria
Summary
👤
Senior🎓
Top SchoolJohannes Vass is an AI Architect based in Vienna with 11 years of experience combining research-grade optimization and planning expertise with production AI and software architecture. He has led AI initiatives and a community of practice at Cloudflight and now shapes AI solutions at Nagarro, bringing both people leadership and hands-on system design. His background includes undergraduate research at TU Wien on planning and scheduling and nearly three years of HPC and full‑stack work at Catalysts completed alongside his studies. Johannes contributes to open-source sustainability efforts like electricitymaps, where he automated backend data ingestion and parsing for real‑time CO2 visualisations. He is strong at bridging algorithmic thinking (optimization, audio processing, ML) with pragmatic engineering for maintainable, high‑performance systems. Colleagues would describe him as a technically curious architect who turns complex research problems into production-ready software.
11 years of coding experience
3 years of employment as a software developer
Vienna University of Technology
English, Spanish, German
Stackoverflow
354reputation
69kreached
3answers
1question
Github Skills (23)
apim10
aggregate10
python10
aggregator10
data-parsing10
ag10
aggregations10
api10
aggregates10
electricity9
json9
csv9
docfx6
scikit-learn6
lucene6
Programming languages (14)
Github contributions (5)
electricitymaps/electricitymaps-contrib
Jun 2019 - Apr 2020
The open source repository for Electricity Maps App and data parsers that enables a real-time visualisation of the CO2 emissions of electricity consumption
Role in this project:
Back-end Developer
Back-end DeveloperContributions:6 commits, 7 PRs, 41 comments in 9 months
Contributions summary:Johannes primarily contributed to back-end functionality, focusing on automating the retrieval and processing of electricity capacity data from external sources (ENTSOE API and CSV files). They developed scripts in Python to parse data, aggregate information, and update configuration files. Their work also involved implementing error handling, improving data parsing logic, and refactoring code for maintainability.
real-timeelectricity-consumptionvisualisationco2-emissionsemissions
scriptator/electricitymap-contrib
Jun 2019 - Apr 2020
A real-time visualisation of the CO2 emissions of electricity consumption
Contributions:19 pushes, 8 branches in 9 months
real-timeelectricity-consumptionvisualisationco2-emissionsemissions
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