About

A systems-first path into applied AI engineering.

My AI work is grounded in full-stack delivery, integrations, operational software, and team leadership. That foundation is what helps me ship reliable LLM systems in production.

I am an AI Engineer and MS in Artificial Intelligence student at Oklahoma Christian University. Before moving to the United States, I spent years shipping product systems across web, mobile, backend services, cloud infrastructure, and integrations.

At Envisionard, I grew from frontend developer to full-stack engineer, then into team and technology leadership on Amealio. I led architecture and delivery across consumer and merchant apps, dashboards, POS integrations, payments, settlement flows, and personalization systems.

Outside Amealio, I built and maintain a live sales and inventory platform for my family distribution business. That project sharpened my operational judgment because the software tracks real stock movement, daily sales, retailer workflows, and financial records in production.

I also served as a computer science and AI/ML tutor at Oklahoma Christian University, supporting 50+ sessions in programming, debugging, machine learning fundamentals, and algorithmic reasoning.

My current direction is practical generative AI: systems that combine retrieval, orchestration, evaluation, and strong product UX. YouTube Autopilot is one flagship example, combining agentic workflows, APIs, async jobs, and secure cloud deployment into a real product.