Principal Engineer (NLP) at University of Tübingen
Tübingen, Baden-Württemberg, Germany
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Summary
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Ramon Ziai is a Principal Engineer specializing in NLP with 17 years of experience applying computational linguistics to real-world education problems. He leads the design and productionization of NLP systems at bettermarks GmbH, moving prototypes into scalable classroom-ready tools while practicing DevOps and mentoring teams. His background includes a PhD and extensive research at the University of Tübingen, where he led projects on automatic assessment and interactive feedback for foreign-language teaching. Ramon bridges deep academic insight and product engineering, maintaining active research collaborations as a university affiliate while shipping commercial solutions. Notably, his career blends long-term corpus and resource development (e.g., GermaNet-related work) with hands-on deployment of state-of-the-art models for assessment tasks. Based in Tübingen, he combines research rigor with practical impact in digital education.
18 years of coding experience
15 years of employment as a software developer
Doctor of Philosophy - PhD, Computational Linguistics, Doctor of Philosophy - PhD, Computational Linguistics at Eberhard Karls Universität Tübingen
M.A., Computational Linguistics, M.A., Computational Linguistics at University of Tübingen
Short Answer Scoring backend, capable of training and prediction over HTTP requests. Built on sklearn, fastapi and ONNX. Used in the ISAAC project (https://ramonziai.github.io/isaac-website).
Contributions:1 release, 11 reviews, 92 commits in 1 year 5 months
ERRor ANnotation Toolkit: Automatically extract and classify grammatical errors in parallel original and corrected sentences.
Contributions:2 PRs, 2 pushes in 3 years 7 months
nlpparallelgrammaticalsentenceserror
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