Daniel Varnai is a London-based technology director and serial founder with 11 years of hands-on experience building full-stack systems and ML research prototypes. He has led and founded multiple companies (QvAI, FieryAI, MediaCogs) while also contributing to academic research in deep learning for gaze tracking, human pose estimation and inverse dynamics at Imperial College and University of Birmingham. Comfortable shipping production software across Java, C#, JavaScript and embedded C++, he blends product-focused engineering with ML experimentation. Holding a Distinction MSc in Advanced Computer Science and a Master’s in Management and Leadership, he pairs technical depth with business and organizational savvy. Unusually for a director, he still codes and pursues PhD-level research interests, keeping a foot in both startup execution and cutting-edge AI research.
10 years of coding experience
9 years of employment as a software developer
Bachelor's degree, Computer Engineering, Good, Bachelor's degree, Computer Engineering, Good at Budapest University of Technology and Economics
Master's degree, Management and Leadership, Master's degree, Management and Leadership at Eötvös Loránd University
Master's degree, Advanced Computer Science, Distinction, Master's degree, Advanced Computer Science, Distinction at University of Birmingham
TypeScript-based caching decorator (currently supports Redis and NodeCache)
Contributions:27 pushes, 1 branch in 7 days
rediscachingdecoratorcachetypescript
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