I'm an AI/ML engineer, currently building agentic AI systems for supply chain operations. Before this: two years as a full-stack engineer at Medline, and an MS in Computer Science at Illinois Tech. I made the same switch you're trying to make — from general software work into real AI engineering — so I know which parts of the advice online are useful and which parts just cost you six months. Along the way: 4 published papers and a patent in AI/ML. But what I care about is what happens after the demo — systems that hold up under real data, real users, and real constraints. That's also what gets you hired. Book me if you're a software, data, QA, or frontend engineer who wants to move into AI/ML and you're stuck on: what to actually learn, what to build, why your applications aren't converting, or how to talk about LLMs and agents in an interview without getting caught out. I don't do generic roadmaps. Bring your resume, your project, or your interview loop, and you'll leave with a specific plan for the next 2–4 weeks. New here and building up reviews, so my rates are lower than they'll be in a couple of months. Start with the free reality check if you're not sure.