Summary
Theodor Stoican is an ML software engineer with 11 years of experience, currently building NLP solutions for Search Ads Quality at Google in Zurich. He combines strong academic grounding—from EPFL and TUM research on neural network training dynamics and scene representations—with practical production impact, having designed and productionized high-precision scoring heuristics for ad relevance. His background spans applied NLP, computer vision, and systems engineering across internships and research roles at Bloomberg, Bitdefender, and university labs, reflecting a rare fluency moving models from experiments to production. Notably, his master’s and thesis work probed where neural nets get “stuck,” giving him a deeper-than-usual intuition for optimization pitfalls that informs robust model design.
11 years of coding experience
3 years of employment as a software developer
Master of Science - MS Data Engineering and Analytics, Master of Science - MS Data Engineering and Analytics at Technical University of Munich
Security Summer School (UPB)
POLITEHNICA București National University for Science and Technology
Colegiul National "Traian"
English, German, Romanian