Summary
Ines Reinig is an AI Solution Architect and computational linguist with nine years of experience applying NLP and machine-learning methods across research and industry. She recently transitioned from a PhD/research role at Universität Mannheim to architecting AI solutions at SV Informatik, bringing strong hands-on experience in corpus creation, parser tooling, NER, and sentiment analysis. Her background blends rigorous academic training (MA in Computational Linguistics, Heidelberg) with practical product-focused work as a student assistant at Expert System and Aristech, giving her a knack for turning linguistic insights into deployable systems. Based in Maxdorf, Germany, she pairs deep language expertise with software engineering skills—an asset for teams building robust, language-aware AI products.
9 years of coding experience
2 years of employment as a software developer
Master of Arts, Computational linguistics, 1.1, Master of Arts, Computational linguistics, 1.1 at Ruprecht-Karls-Universität Heidelberg
French, German, Spanish, English, Portuguese, Arabic