I first encountered language-analysis techniques based on NLP during my master’s studies, and that experience naturally led me to become an AI engineer focused on NLP research and development. My work spans both model-level and solution-level tasks: I have built sentiment-analysis and named-entity-recognition models, as well as performed post-training on LLMs to create custom generative systems. On the product side, I have designed and deployed AI services such as rule-based and LLM-based chatbots, RAG pipelines, and Agents.
Recently, I have grown especially interested in multi-modal AI and tool creation, so I am pursuing personal projects that implement and experiment with these areas.
Although I did not major in computer science, I turn this non-traditional path into an advantage, combining linguistic expertise with engineering rigor and growing steadily into a versatile, reliable developer.