I'm an undergraduate AI/ML student fascinated by the gap between research and production. I don't just want to train models - I want to understand and build the systems around them: data pipelines, model-serving infrastructure, and monitoring tools that keep models honest in the real world.

My sweet spot is at the intersection of software engineering and machine learning, where I'm learning to build reliable AI agent systems and work with real-world data. I work primarily with Python and am exploring how to design the infrastructure that makes these systems useful beyond a simple demo from orchestration and data pipelines to evaluation and deployment.