I build full-stack GenAI applications, LLM-powered workflows, and enterprise AI integrations with ChatGPT, Claude, and Microsoft Azure — designing MCP tools/servers/resources, orchestrating Microsoft Fabric pipelines, and shipping production AI systems end-to-end.
Before AI engineering, I spent a year and a half turning marketing data into revenue — predictive analytics and KPI tracking that drove 150% YoY growth for automotive dealership clients. The two disciplines run on the same instinct: find the signal, build the dashboard, trust the number.
Develop and deploy GenAI applications, LLM-powered workflows, and enterprise AI integrations using Python, Azure Functions, and Azure OpenAI. Design MCP tools, servers, resources, and HTML frontends enabling ChatGPT/Claude assistants to securely interact with enterprise systems. Build predictive analytics dashboards on Azure Storage, Databricks, and Microsoft Fabric; integrate Salesforce and proprietary APIs. Prototype AI agents and workflow automation, with telemetry and observability to evaluate performance.
Three promotions in 1 year 8 months, owning end-to-end lifecycle marketing for automotive dealerships. Applied predictive analytics, KPI tracking, and revenue-attribution modeling to drive 150% YoY revenue growth; built recurring executive dashboards and led onboarding/training.
Built Python scripts and interactive Tableau dashboards to clean, analyze, and visualize survey datasets, surfacing sentiment and usage trends among thousands of students.
Graduated Aug 2025 · Minor: Commercial Entrepreneurship · Bright Futures Scholar · Dean's List