Susana Boatto is an AI Data Quality Manager based in Berlin with three years of focused experience bridging computational linguistics, localization, and language-focused AI quality assurance. She advanced from computational linguist work on the open-source LanguageTool—where she improved Portuguese grammar and POS tagging rules—to leading linguistic quality for Brazilian Portuguese at QuillBot and now managing AI data quality. Her background in translation, editing, and localization across medical, publishing, gaming and travel domains gives her a sharp eye for nuanced language issues that often derail NLP models. Fluent in Portuguese, German and English and trained in Portuguese and German studies with graduate work in Latin American studies, she pairs linguistic depth with hands-on engineering contributions to widely used language tools. Notably, she has experience tuning rule priorities and integrating dictionaries in a prominent multilingual grammar checker, a practical skillset she applies to productionizing reliable language quality for AI.
3 years of coding experience
5 years of employment as a software developer
Master's Degree, Interdisciplinary Latin American Studies, Master's Degree, Interdisciplinary Latin American Studies at Freie Universität Berlin
Bachelor's degree, Portuguese Studies, Bachelor's degree, Portuguese Studies at USP - Universidade de São Paulo
Contributions:292 reviews, 611 commits, 69 PRs in 6 months
Contributions summary:Susana primarily contributed to the language module for Portuguese within the LanguageTool project. Their work involved modifying and adding rules related to grammar and style, focusing on improving the accuracy of the Portuguese language checker. The user’s commits demonstrate a focus on refining priority levels for various grammar rules and adjusting the detection logic. They also integrated new dictionaries and implemented the new POS tagging schema.
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