Kelly A. Burns

Explorations in AI Development

Launch Project

Technical Architecture

Human-In-The-Loop Collaboration

I architected this solo project through an AI-augmented development process to accelerate prototyping. By employing Gemini 3 Flash for high-order logic, I bridged the gap between back-end infrastructure and front-end user experience.

I maintained a strict manual audit layer, correcting recursive context-loss issues—such as repeated dropping of environment port configurations and prompt logic—to ensure system stability.

Tech Stack

Built on a Python/Flask micro-framework. Version control is managed via GitHub with an automated CI/CD pipeline deploying to a cloud-native Railway environment. All UI/UX is proprietary design.

The Engine (Qwen 2.5 72B)

Utilizes Qwen 2.5 72B via Hugging Face API Router for enterprise-grade reasoning. To manage stochastic randomness and prevent logical hallucinations, I implemented a Temperature Parameter (0.1 - 1.0), allowing user-level control over prediction probability distributions.