About

A builder's path from shipped product work to applied AI.

My story is not a sudden pivot into AI. It is a progression from interfaces, APIs, dashboards, mobile products, integrations, operational software, teaching, and technology leadership into AI product engineering.

I am an AI Product Engineer and MS Artificial Intelligence student at Oklahoma Christian University. Before moving to the United States, I spent years building real product systems across web, mobile, backend, integrations, and dashboards.

At Envisionard, I grew from frontend developer to full-stack developer, project manager, and Lead of Technology / CTO for Amealio. That progression shaped my approach: build the product, understand the business, train the team, improve the system, and keep shipping.

Outside Amealio, I built and maintain a live Sales & Inventory Management platform for my family distribution business. That project sharpened my operational judgment because the software tracks real stock, real sales, real users, and real production workflows.

I also tutor computer science and AI/ML topics at Oklahoma Christian University, which has made technical communication a visible part of my profile: explaining code, debugging with students, preparing for exams, and turning complex topics into understandable steps.

My current direction is applied AI: products that use AI in practical workflows, not as decoration. YouTube Autopilot is the first flagship example, combining AI agents, APIs, background jobs, dashboards, security, and product UX into a deployed system.