Connecting enterprise data to useful AI
AI agents and language-model applications grounded in enterprise data, built to support real workflows and better decisions.
Principal Data Engineer at Microsoft
Building the systems
behind useful intelligence.
AI agents. Dependable data. Distributed systems.
From the architecture to the work it makes possible.
Microsoft / Copilot Studio
Founder & CEO / Kyklos
Atlanta, Georgia
01A through line
I work at the intersection of AI, data, and the systems that connect them. At Microsoft, that means turning complex enterprise data into something teams and agents can use.
Before that, I built a payments company. Across both chapters, the work has been about the same thing: making complex systems useful, reliable, and worth building.
The longer story02Selected work
AI agents and language-model applications grounded in enterprise data, built to support real workflows and better decisions.
Technical direction for distributed data infrastructure, bringing together cloud efficiency, observability, and trusted product analytics.
Founded and led a payments and data analytics startup, delivering high-transaction financial systems before the company's acquisition.
03Areas of focus
Connecting language models and agents to enterprise data, with grounding, useful tools, and a clear operational purpose.
Designing the pipelines, models, and quality controls that make complex data dependable and usable.
Building platforms with attention to availability, observability, disaster recovery, and the cost of operating at scale.
Setting architectural direction, connecting engineering decisions to business outcomes, and helping teams build on shared foundations.
04Speaking & community
TechCon365 Atlanta
2025
A practical look at using AI agents to automate tasks and support decisions, co-presented with Olesya Sarajlic.
Read the conference recapMicrosoft Global Hackathon winner 2022 & 2023
An open line