I'm a machine learning engineer who builds end-to-end AI systems that bridge the gap between data and human experience. My ability to design multimodal RAG pipelines, integrate speech technologies, and craft memory-aware conversational AI came from building systems where the stakes were real — not just experimenting with models in isolation. A separate project sharpened my skills in web intelligence, turning raw scraped content into interactive, conversational interfaces — proof that good ML engineering is as much about how data flows as how models perform.Continuous growth is something I live by, not just something on a CV. Choosing to study abroad pushed me to adapt across different environments, perspectives, and ways of thinking — a mindset that now shapes how I approach every technical challenge, from culturally-aware NLP to building solutions that work for real users in the real world.