Theo
Axelson
Power Platform Solution Architect and Data Engineer specializing in enterprise automation, AI integration, and data pipeline engineering. Building scalable solutions that drive efficiency and innovation across organizations.
move the needle.
Designed and built a governed enterprise AI platform within M365 — enabling scalable LLM access, agent orchestration, and seamless integration with existing business data sources.
Kiosk-based Canvas Power App for corporate event check-ins with QR code generation and Power BI analytics. Published on AppSource. 76% check-in efficiency boost at 5+ events.
Machine learning regression analysis on historical NBA player performance data to predict season outcomes.
for impact.
Canvas & Model-Driven Apps, Power Automate, Copilot Studio, and Power BI — end-to-end enterprise solutions on Dataverse with ALM governance and environment strategy.
ETL pipelines, REST API integrations, Graph API automation, SQL/PostgreSQL data modeling, and Databricks analytics — turning raw data into reliable, actionable insights at scale.
Enterprise LLM gateway design, Copilot Studio agent orchestration, and governed AI tooling inside M365 — making AI accessible and compliant at scale across the organization.
M365 security architecture, Entra ID validation, and permission management across Power Apps environments, SharePoint, and M365 services via Microsoft Graph API.
Problem Solver.
I'm Theo Axelson — a Power Platform Solution Architect and Data Engineer based in Tampa, FL. I specialize in building enterprise-grade automation, AI integration, and data pipeline solutions that scale across large organizations.
My work sits at the intersection of enterprise automation, AI integration, and data engineering. I design governed AI platforms, ETL pipelines, and full-stack Power Platform solutions that drive measurable efficiency gains.
I graduated from George Mason University in 2024 with a B.S. in Management Information Systems from the Costello College of Business Honors Program. I've led Power Platform development across enterprise clients — shipping financial reporting tools, AI-powered ATS systems, and large-scale CRM architectures.
I move fast, iterate constantly, and care deeply about elegant architecture. Always open to new challenges and consulting opportunities.
- Led architecture of an enterprise AI platform for governed LLM access inside M365
- Built centralized security management hub with Graph API-driven access control
- Engineered data integration pipelines and automated reporting workflows
- Delivered 10+ enterprise Power Platform solutions — 60%+ process efficiency gains
- Built financial reporting solution — 25% reduction in quarterly expenses
- Managed Dynamics 365 CRM administration and solution lifecycle
- REDBoard: kiosk check-in app on AppSource — 76% efficiency boost at 5+ events
- 60% reduction in operational inefficiencies via Power Automate workflows
- Developed Model-Driven ATS with Copilot agents — 45+ new applicants
- SharePoint redesign reduced document search time by 50%
- Architected CRM with 30+ Dataverse tables — 100+ leads, 65% conversion rate
- Managed events of 70+ attendees with Power BI engagement tracking
- Costello College of Business Honors Program
Governed enterprise AI platform within M365 — scalable LLM access, agent orchestration, and integration with existing business data sources.
Centralized security management for Power Apps environments, SharePoint, and M365 — Entra ID validation with Graph API-driven permission automation.
Kiosk check-in Canvas App with QR code generation and Power BI attendee analytics. Published on AppSource. 76% efficiency boost at 5+ events.
Receipt scanning Canvas App + Power BI expense dashboard. Reduced quarterly expenses by 25% through automated financial visibility.
Model-Driven ATS with trained Copilot agents to streamline recruiting workflows. Generated 45+ new applicants in the first cycle.
30+ relational Dataverse tables with workflow automations. Generated 100+ new leads with a 65% conversion rate on launch.
Predictive ML regression analysis on historical NBA player performance data to model and forecast season outcomes.
together.
I'm available for consulting, contract work, and full-time opportunities. Whether it's Power Platform architecture, data engineering, or AI integration — let's talk.