I’ve learned that even seemingly small coding challenges can have a big impact on real-world projects, especially when thinking about scaling systems. Project Euler (an online repository of mathematical and programming challenges) is one fantastic way to sharpen those skills, and I’ve curated a selection of challenges that I find both interesting and practically relevant to AI & ML systems. For each problem, I outline how this could be practically relevant to building more effective AI & ML projects.