Data & AI Solution Engineer at Microsoft
I build the data platforms and AI systems behind reliable, governed, real-world solutions.
I work across both sides of modern AI: the data platforms that make it possible, and the AI and agentic systems built on top, with governance and trust at the core.
5+
Years across data & AI
100+
Enterprise customers
35+
Solutions shipped to production
6
Microsoft certifications
AI-Ready Data Foundations
Modern data warehouse architecture, estate modernization, and migration strategy that make enterprise data trustworthy enough for AI.
Agentic AI in Production
Designing and deploying agentic and generative AI systems that move beyond pilots to deliver measurable business outcomes.
Governance & Responsible AI
Security, lineage, access control, and evaluation engineered in from day one, not bolted on later.
From Pilot to Production
Performance, cost optimization, and maintainability so solutions scale and survive long past the demo.
About
I work at the intersection of data and AI. Strong AI takes more than good models: it needs solid data foundations, sound architecture, and real governance. I build across all of it, from pipelines and platforms to AI and intelligent agents.
With 5+ years across data engineering, AI, and agentic systems, I design solutions that survive past the demo: secure, scalable, and built to last.
Based in
San Jose, California
Currently
Data & AI Solution Engineer @ Microsoft
Capabilities
What I work with
Azure Data Platforms
AI & Agents
Analytics & BI
Governance & Delivery
Blog
Latest articles
Data · 12 min
Automating Microsoft Fabric Capacity Scaling: Four Ways to Do It
A hands-on guide to automating Microsoft Fabric capacity scaling: Logic Apps, Automation runbooks, Azure Functions, and Fabric Activator.
Jul 29, 2026
Data · 8 min
Data Governance in Microsoft Fabric: A Practical Framework
Govern data in Microsoft Fabric with domains, the OneLake catalog, sensitivity labels, lineage, and Purview, in a simple framework you can run.
Jul 22, 2026
Data & AI · 9 min
Ontologies vs Semantic Models: What They Mean for Data Agents and Power BI
An ontology and a Power BI semantic model are not the same thing. Here is what each does, when to use which, and why the pairing makes data agents trustworthy.
Jul 9, 2026