Emilian Bold is a Principal Software Engineer with 14+ years building robust full‑stack and backend systems, currently based in Timișoara and working 100% remotely as a digital nomad. He blends deep Java and tooling expertise with compiler, AI, and blockchain experience—contributing to projects like Tablesaw (dataframes/visualization) and Apache NetBeans—and has shipped production firmware tools for Intel NPUs and smart contracts on Solana/EVM. A strong believer in automated tests, language ergonomics and patient craftsmanship, he excels at adding features or fixing bugs in complex codebases without sacrificing quality. His career spans startups and enterprise acquisitions (CompilerWorks → Google Cloud, DataChat → Mews), showing an ability to operate across product, open-source and research-driven environments. Practical, independent and driven, he pairs systems-level thinking with hands-on implementation from IDE modules to data I/O and visualization.
14 years of coding experience
21 years of employment as a software developer
Bachelor's degree, Computer Science, Bachelor's degree, Computer Science at Universitatea de Vest din Timișoara
Contributions:4 reviews, 75 commits, 58 PRs in 4 years 1 month
Contributions summary:Emilian primarily focused on module review and related updates within the Apache NetBeans IDE. Their contributions included modifications to HTML documentation files and source code in multiple modules like `openide.filesystems`, `openide.modules`, `openide.util.ui`, and `openide.text`. The user also merged branches and addressed bug fixes, such as addressing an macOS permission issue and a quit issue in applemenu. Furthermore, they worked on completing tasks related to the database and Git modules, indicating experience across different parts of the IDE.
Contributions:13 commits, 22 PRs, 6 pushes in 7 months
Contributions summary:Emilian focused on extending the Tablesaw library's input/output capabilities by adding support for reading data from HTML, JSON, and Excel files. This included implementing features to read specific tables from HTML pages, extract subtrees from JSON documents using JSON pointers, and read specific sheets from Excel files. Furthermore, the user implemented changes to the JSPlot library to support the addition of a plotly config argument, and to improve Javascript string handling.
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Emilian Bold - Principal Software Engineer at Lucanet