Summary
Dinh Nguyen is Head of NLP Applications with eight years of hands-on experience building production AI systems, specializing in Vietnamese-focused NLP solutions such as chatbots, spellchecking, diacritics restoration, and translation. He has led NLP and speech initiatives across VinSmart/VinBigData and KiotViet, applying transformer architectures (BERT, RoBERTa) and model distillation to deliver task-oriented dialog, NER, intent classification, and recommendation features. Recently he shifted toward generative AI and LLM-driven applications, combining research-rooted methods from his JAIST master's work with product-focused engineering. Fluent in both research and productionization, he’s known for building language toolkits and pragmatic improvements (e.g., punctuation restore and keyboard prediction) that tangibly improve user-facing experiences. Based in Germany, he brings a rare blend of deep Vietnamese-language expertise and leadership in deploying scalable NLP systems.
8 years of coding experience
4 years of employment as a software developer
Bachelor's degree, Information Science/Studies, Bachelor's degree, Information Science/Studies at Posts and Telecommunications Institute of Technology
Master's degree, Computer Science, Master's degree, Computer Science at Japan Advanced Institute of Science and Technology
Japanese, English, Vietnamese