Leo Rojas

This site is a small collection of working proofs of concept I’ve built to explore how modern technologies — including AI — can be applied in practical, responsible ways.

As an engineering and software quality leader, I use projects like these to understand new tools end to end before asking teams to adopt them. Rather than starting with theory or vendor claims, I prefer to validate ideas by building something real, even if it’s intentionally simple.

Each project on this site is designed to:

• Explore a specific technical pattern or capability
• Reduce ambiguity around new technologies
• Serve as a concrete example I can use to guide and inspire teams
• Demonstrate how small, focused proofs of concept can lead to better decisions at scale

The emphasis here is not polish or completeness — it’s clarity, learning, and leadership through execution.

Projects

Netscape — A lightweight proof of concept exploring how large language models can be integrated into applications via API.

Tip Splitter — A small application demonstrating how clear business rules and AI-assisted development can be used to build practical internal tools.

painting force — A real-world service business website demonstrating platform selection, SEO-first design, and paid acquisition to deliver measurable outcomes without over-engineering.

flowise to automate testcases from requirements An agentic AI built with Flowise that converts plain-English software requirements into structured, automated test cases. This proof-of-concept is a hands-on, empirical demo of agentic AI capabilities—real-world deployment would require far more robust design, validation, and infrastructure.

Each project includes a short case study describing the architecture, intent, and how similar patterns could be applied by an engineering or SQA team in a real organization.