Package Description:

This package is a high level working partnership focused on how real AI and ML systems are designed, evaluated, and scaled in production. I spent years building and shipping AI systems at OpenAI, Spotify, and Coinbase, including work that shaped early large language model platforms and developer tooling. This package transfers the way experienced AI engineers think before anything is built. We focus on judgment, architecture, and decision making rather than surface level tools or tutorials. Sessions are tailored to you, but commonly cover: • How modern AI systems are structured end to end • How strong engineers reason about models, data, retrieval, and orchestration • When to use classical ML versus LLM based systems and how they coexist • How infrastructure, latency, reliability, and security shape design choices • What changes when systems move from demos to real users • How AI engineering differs across startups, big tech, and regulated environments • How hiring managers evaluate AI engineers beyond resumes and buzzwords This is not a walkthrough of libraries or a collection of tricks. It is a way of thinking that lets you make correct decisions when there is no obvious answer. Each session is a deep technical and strategic conversation grounded in real world experience. You will leave with clarity on how systems should be built, how to talk about them, and how to position yourself as someone who understands more than just the surface.