Gergely Ignacz is an independent researcher and seasoned system architect with over 10 years of experience designing safety-critical automotive and enterprise systems. He combines deep MBSE/SysML expertise with hands-on software and tooling experience—authoring metamodels, plugins and automated document generation tools to make complex architectures auditable and maintainable. His background spans ISO26262/ASPICE-aligned automotive development, embedded AUTOSAR/C work, and enterprise information modeling for industries from insurance to healthcare and energy. Recently he has explored automated driving perception, neural-object-detection resource analysis, and LegalTech approaches that translate natural language contracts into formal models using ontologies and LLMs. Comfortable bridging research and delivery, he blends practical reverse-engineering and parser-based techniques with AI-assisted code analysis to tame undocumented legacy systems. Based in Hungary, he pairs an electrical engineering MSc with economics training, enabling both technical rigor and business-oriented solutions.
10 years of coding experience
12 years of employment as a software developer
Economist : Accounting and Finances, Economist : Accounting and Finances at Budapesti Gazdasági Főiskola
MSc Electrical Engineering Automation, MSc Electrical Engineering Automation at Budapest University of Technology and Economics
Contributions:29 PRs, 42 pushes, 16 branches in 1 month
python
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Gergely Ignacz - Independent Researcher at Self-employed