I design and build intelligent enterprise systems — spanning Salesforce architecture, agentic AI, and enterprise data platforms. My work sits at the intersection of software engineering, enterprise architecture, and AI solutioning. Right now, that means multi-agent orchestration, LLMs, retrieval-augmented generation, enterprise data grounding, semantic layers, and human-in-the-loop AI governance — the pieces that turn "AI pilot" into "AI in production." Across the Salesforce ecosystem, I work in Agentforce, Data Cloud, Service Cloud, Sales Cloud, Experience Cloud, Apex, LWC, and enterprise integration patterns. Outside Salesforce, I build with Python, SQL, data engineering pipelines, ML, and event-driven cloud architecture. I mentor professionals who want to: — Move into AI, Agentforce, or architecture roles — Build a structured Salesforce or AI career roadmap — Prepare for technical/solution architect interviews — Get a second opinion on a system or AI architecture design — Understand agentic AI, RAG, and multi-agent systems from first principles — Position their experience for senior technical roles I don't do generic advice. I look at where you actually are, find the gaps, and help you build a plan you can execute — whether that's your next certification, your next interview, or your next role. If you're stuck on what to learn next or how to break into AI/architecture, let's turn that fog into a roadmap.