Julius Gonsior is a Data Science Specialist with 11 years of experience, currently applying his PhD expertise in Machine Learning, NLP and LLMs at DATEV eG after completing a dissertation on Active Learning at TU Dresden. He has led cross-organizational projects that built active-learning systems for legal documents, transformer-based prioritization for manufacturing error reports, and ML-driven resource allocation for project management, coordinating multi-stakeholder teams and supervising 40+ industry-linked theses. Julius blends research rigour with production focus—moving models from prototyping to stakeholder-ready systems—and regularly teaches and mentors, including an ERASMUS guest lecturing stint in Tanzania. He complements technical work with training in university teaching, nonviolent communication and leadership, which he uses in lectures and workshops. Comfortable with end-to-end ML pipelines and applied NLP, he is particularly strong at aligning academic methods with practical business needs in regulated domains like tax and manufacturing.
11 years of coding experience
1 year of employment as a software developer
Diplom Informatiker, Major in Computer Science, Minor in Mathematics, Diplom Informatiker, Major in Computer Science, Minor in Mathematics at Technische Universität Dresden
Computer Science, Computer Science at Linköping University
Contributions:81 pushes, 9 branches in 2 years 6 months
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Julius Gonsior - PhD Student at Technische Universität Dresden