Evgenii Danilov is a Generative AI Engineer and seasoned backend developer with 10 years of experience building production systems and AI-native tooling from Málaga. He transitioned from a strong Ruby on Rails background—delivering complex backends, background processing, and test-driven workflows—to researching and prototyping LLM capabilities such as data extraction, text-to-SQL and code migration. At NDA he leads custom AI tool development and showcases developer-facing features like GitHub Copilot integrations, blending practical engineering with research-driven proofs of concept. Comfortable across multiple languages and frontend stacks, he brings an engineer’s discipline from an electrical and electronics background to product-focused AI solutions. Colleagues would note his preference for large, complex projects and his ability to turn LLM experiments into usable developer tooling.
10 years of coding experience
7 years of employment as a software developer
Engineer's degree, Electrical and Electronics Engineering, Engineer's degree, Electrical and Electronics Engineering at Rybinsk State Aviation Technological Academy named after P. A. Solovyov
Ruby compiler and framework for microcontrollers like AVR, PIC & STM. It was designed to simplify the process of programming microcontrollers, but can also be used as an clear С-code generator that can be compiled with gcc.
Contributions:56 commits, 3 PRs, 37 pushes in 3 years 3 months
Contributions:35 commits, 39 pushes, 1 branch in 2 months
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