Ihor Yeromin
Data Visualization Engineer
Stuttgart, Baden-Württemberg, Germany
Summary
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Rockstar🎓
Top SchoolIhor Yeromin is a Data Visualization Engineer with 11 years of experience blending frontend craftsmanship and backend Python roots, currently shaping visualization UX at Grafana Labs. He specializes in React and TypeScript and is deeply passionate about d3.js, with a track record of building performant canvas- and Pixi.js-driven visualizations for brands like RedBull and HSBC. Ihor has contributed front-end accessibility and UI improvements to the widely used open-source Grafana platform, demonstrating attention to detail in tooltips, tables, and canvas elements. His background spans full-stack system design, machine learning projects, and low-level engineering, which gives him a rare combination of high-level UX sense and backend/architecture fluency. He also mentors junior developers and embeds accessibility and performance optimizations into production-grade visualization systems.
11 years of coding experience
9 years of employment as a software developer
Bachelor, Bachelor’s degree in Information Technologies and Engineering, Bachelor, Bachelor’s degree in Information Technologies and Engineering at Donbas State Mechanical Engineering AcademyIgor Sikorsky Kyiv Polytechnic Institute
English, Ukrainian
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (17)
accessibility10
typescript10
ui-design10
typescript-types10
typescripts10
react10
datatable9
canvas9
html-table9
datatables9
html8
css8
javascript8
data-visualizations7
data-visualisation7
Programming languages (2)
Github contributions (5)
grafana/grafana
Jul 2023 - Apr 2025
The open and composable observability and data visualization platform. Visualize metrics, logs, and traces from multiple sources like Prometheus, Loki, Elasticsearch, InfluxDB, Postgres and many more.
Role in this project:
Front-end Developer
Front-end DeveloperContributions:213 reviews, 144 PRs, 269 pushes in 1 year 9 months
Contributions summary:Ihor primarily contributed to the Grafana front-end, focusing on user interface improvements and accessibility enhancements. Their work included fixing UI bugs, improving the visual presentation of various components, and adding accessibility features to make the application more usable for everyone. Key areas of contribution include the enhancement of tooltips, table components, and canvas elements. They demonstrated proficiency in React, TypeScript, and UI design principles.
visualizeobservabilitybusiness-intelligencegrafanaprometheus
ai-labs/ai-labs.github.io
Apr 2015 - Jul 2018
Contributions:21 pushes, 1 branch in 3 years 3 months
machine-learning
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