This blog is where I think out loud about machine learning, systems, and data-driven decision making. I use it to document ideas, experiments, and questions that don’t always have clean answers. My focus is on understanding behavior of models, data, and systems under uncertainty. Along the way, I share projects, failures, and insights that come from trying to bridge theory with practice.