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Enterprise AI & Power Platform Engineering — architectures, experiments, and patterns that survive production.
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Latest from the Blog
Architecture deep-dives, lessons from production, and field notes from the Microsoft AI stack.
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Learn Fine-Tuning — the hands-on course I’m building during my master’s
Launching a hands-on, self-contained fine-tuning course — 19 lessons covering LoRA, QLoRA, DPO, RLHF, and production. Why I built it, and what surprised me.
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Authentication patterns for Microsoft Foundry — beyond DefaultAzureCredential
DefaultAzureCredential is the right answer for week one of a Foundry project. By month three you need a real pattern catalogue — managed identities, workload identity federation, OBO, and per-environment role assignment.
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Starting an Azure Foundry project — the getting-started guide nobody wrote
Five decisions, the day-one auth pattern, a first-sprint checklist, and three traps. The Azure Foundry getting-started guide I wish I’d had before TrafficIQ.
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Why I built 6 agents instead of 1 mega-agent — lessons from TrafficIQ
Why TrafficIQ ships six specialist agents instead of one 56-tool mega-agent — routing, handoff, MECE tools, and grounding lessons from production.
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Open-source experiments and enterprise patterns — read it, fork it, adapt it.
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