Informatics graduate transitioning into software engineering and AI/ML development, with nearly 4 years of hands-on experience across chatbot systems, LLM quality evaluation, and data operations. Currently building independent projects spanning RAG pipelines, intent classification, and NLP benchmarking — applying machine learning and full-stack engineering to problems I find genuinely worth solving. My background bridges technical depth and product thinking: I understand how AI systems behave in production, how quality breaks down, and how to close that gap through engineering. I am actively growing toward roles in Data Science, AI Engineering, and product-driven software development, and I am eager to contribute and accelerate that growth within Apple's innovation ecosystem.