Summary
Felix Helfer is a research-focused software engineer with 12 years of experience specializing in natural language processing and machine learning, currently working as a Wissenschaftlicher Mitarbeiter at the Sächsische Akademie der Wissenschaften zu Leipzig. He holds a Master's in Computer Science from Leipzig University and has a steady academic career progression there, blending hands-on engineering with research-driven projects. Felix builds reproducible NLP solutions and models informed by rigorous academic methodology, moving ideas from prototype to publication-ready work. Based in Leipzig, he combines deep technical knowledge with practical implementation skills and a track record of sustained contributions to university research groups.
12 years of coding experience
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at Leipzig University
German, English, French