From AI-Assisted to AI-Native Engineering
Seven lessons from AI Engineer SF on loop engineering, evals, context, agent safety, orchestration, human judgment, and team velocity—and how they show up in real engineering work.
Read the articleAzure Storage Control Plane leader · Distributed systems · AI-native engineering
Leading cloud platforms at massive scale. Reimagining how engineering teams build, operate, and innovate with AI.
I’m Nilay Shah, an Azure Storage engineering leader at Microsoft. I lead the control plane behind foundational Azure storage services and help teams improve developer experience, agent experience, and engineering efficiency through AI-native systems.
- Foundational Azure platform services
- Developer and agent experience
- AI-native engineering transformation
NEWSLETTER
The AI-Native Engineer
Practical lessons on building, operating, and leading with AI—from agentic systems and software engineering to reliability at scale.
Explore the publicationFEATURED ARTICLE
From AI-assisted to AI-native engineering
LATEST WRITING
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Read the articleWHAT I EXPLORE
Building platforms and transforming engineering
Cloud platforms at scale
Control planes and distributed systems that power foundational Azure services across storage accounts, disks, and Elastic SAN.
AI-native engineering
Agentic systems, multi-agent patterns, evaluation loops, and the journey from proof of concept to production.
Developer and agent experience
Reducing engineering friction through better platforms, workflows, automation, and AI teammates grounded in real work.
Engineering transformation
Leading distributed teams, improving engineering efficiency, and helping people adopt new ways of building and operating.
ABOUT
Scale the platform. Improve the system of engineering.
I lead Azure Storage Control Plane engineering and work at the intersection of distributed cloud platforms, AI-native systems, developer experience, and people. My goal is to share useful patterns and honest lessons—not just polished outcomes.
More about me