Hands-on AI-assisted apps with active users

I build and improve first-party applications as well as leading product and architecture work.

Two live products

• AI-assisted LMS: a learning platform serving about 500 monthly active users. I shaped the learner and creator workflows and built and iterated the application using AI-assisted development tools.
• Transcriber: an application I built for my own use case that now serves about 100 monthly active users. I continue to improve it based on real usage.

Earlier, I independently built document-workflow systems with Delphi and MS SQL and a Python application for a physician’s workflow. Those projects predate AI-assisted coding.

What this demonstrates

I can turn a bounded problem into an application people use, combine product decisions with hands-on implementation, and iterate against real workflows. For client projects I review the existing code, requirements and data handling before agreeing the stack, deliverables, tests and release plan. These are my own products, not work for an employer or a client.