I’m someone who enjoys breaking down complex systems into something simple and understandable. My work has mostly been around backend systems and Generative AI — especially building things that don’t always work perfectly the first time. A lot of learning has come from debugging, fixing edge cases, and figuring out how these systems behave in real-world scenarios. I tend to focus more on how things actually work rather than just knowing the theory. That naturally led me to explore areas like LLM integrations, RAG pipelines, and system design around AI. I also enjoy sharing what I learn — whether it’s helping someone understand a concept, improve how they explain their work, or just giving a clearer direction when things feel confusing. I’m open to discussions, different perspectives, and continuous learning — both ways.