I am Mateo Díaz Gavier, an AI Linguist specializing in Conversational AI and LLM optimization. With 20+ years of international experience at the intersection of language, technology, and high-stakes communication, I combine an academic foundation in Communication Sciences and Political Science with a Master’s in International Relations from KU Leuven and postgraduate training in Conference Interpretation. I focus on LLM evaluation, prompt engineering, conversational model optimization, and multilingual AI systems, grounded in discourse, pragmatics, and human–AI interaction to improve coherence, alignment, and cross-cultural robustness. I have contributed to multilingual review and localization for Netflix, Amazon Prime Video, Disney+, and other partners while working with Jonckers in Belgium. My work emphasizes bias detection, terminological consistency, semantic drift control, and user-centric design for AI systems. I enjoy translating complex content into reliable AI-ready outputs and collaborating across cross-functional teams to deliver high-quality, scalable language solutions. I am native in Spanish and Dutch and fluent in English & French with a track record of bridging linguistic insight and practical AI deployment.

Mateo Díaz Gavier

I am Mateo Díaz Gavier, an AI Linguist specializing in Conversational AI and LLM optimization. With 20+ years of international experience at the intersection of language, technology, and high-stakes communication, I combine an academic foundation in Communication Sciences and Political Science with a Master’s in International Relations from KU Leuven and postgraduate training in Conference Interpretation. I focus on LLM evaluation, prompt engineering, conversational model optimization, and multilingual AI systems, grounded in discourse, pragmatics, and human–AI interaction to improve coherence, alignment, and cross-cultural robustness. I have contributed to multilingual review and localization for Netflix, Amazon Prime Video, Disney+, and other partners while working with Jonckers in Belgium. My work emphasizes bias detection, terminological consistency, semantic drift control, and user-centric design for AI systems. I enjoy translating complex content into reliable AI-ready outputs and collaborating across cross-functional teams to deliver high-quality, scalable language solutions. I am native in Spanish and Dutch and fluent in English & French with a track record of bridging linguistic insight and practical AI deployment.

Available to hire

I am Mateo Díaz Gavier, an AI Linguist specializing in Conversational AI and LLM optimization. With 20+ years of international experience at the intersection of language, technology, and high-stakes communication, I combine an academic foundation in Communication Sciences and Political Science with a Master’s in International Relations from KU Leuven and postgraduate training in Conference Interpretation. I focus on LLM evaluation, prompt engineering, conversational model optimization, and multilingual AI systems, grounded in discourse, pragmatics, and human–AI interaction to improve coherence, alignment, and cross-cultural robustness.

I have contributed to multilingual review and localization for Netflix, Amazon Prime Video, Disney+, and other partners while working with Jonckers in Belgium. My work emphasizes bias detection, terminological consistency, semantic drift control, and user-centric design for AI systems. I enjoy translating complex content into reliable AI-ready outputs and collaborating across cross-functional teams to deliver high-quality, scalable language solutions. I am native in Spanish and Dutch and fluent in English & French with a track record of bridging linguistic insight and practical AI deployment.

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Language

Spanish; Castilian
Fluent
Dutch
Fluent
English
Fluent
French
Fluent
German
Beginner
Portuguese
Beginner

Work Experience

Linguistic Reviewer & Translator at Netflix | Amazon Prime Video | Disney+
January 1, 2021 - Present
Performed large-scale multilingual linguistic review (EN, ES, NL, FR) for global content platforms. Evaluated semantic accuracy, tone consistency, narrative flow, and pragmatic intent, analogous to LLM output validation pipelines. Conducted systematic error analysis and iterative refinement comparable to post-training model optimization.
Senior Language Editor at Jonckers (Belgium)
January 1, 2020 - Present
Led linguistic QA and localization for enterprise tech clients (Meta, Oracle, Amazon). Ensured terminological consistency and cross-cultural alignment, similar to multilingual conversational AI deployment. Reviewed content for bias, ambiguity, and semantic drift.
Conference Interpreter at United Nations
January 1, 2021 - December 31, 2021
Delivered real-time interpretation (EN ↔ NL) on climate policy and sustainability. Demonstrated advanced real-time intent recognition, semantic compression, and contextual inference relevant to high-precision conversational AI.
Professor & Project Manager at Universidad Siglo 21
January 1, 2016 - December 31, 2018
Managed digital learning platforms and optimized content delivery for 300+ users. Experience aligned with user-centric AI system design and instructional prompt strategies.

Education

MSc International Relations & Conflict Resolution at KU Leuven, Belgium
January 11, 2030 - January 15, 2026
Postgraduate Degree in Conference Interpretation at UNC, Argentina
January 11, 2030 - January 15, 2026
BA Communication Sciences & Political Science at KU Leuven, Belgium
January 11, 2030 - January 15, 2026

Qualifications

Postgraduate Training in Conference Interpretation
January 11, 2030 - January 15, 2026

Industry Experience

Media & Entertainment, Professional Services, Government, Education, Software & Internet