Currently studying software engineering, with most of my time spent in Python — writing automation scripts that eliminate repetitive work, training models that actually solve problems, and shipping code that scales. I learn by building: when I encounter a new algorithm or framework, my first move is implementation, not just theory. Recent projects span intelligent automation pipelines, ML model deployment, and tools that turn messy data into actionable systems. I'm particularly drawn to the overlap between robust engineering and intelligent systems — where clean code meets real decision-making. Always interested in collaborating on challenging technical problems, especially where automation and intelligence intersect.