
The 50,000 Pound Hour: My First Step to a New Level of Strength
How combining movement science with modern web and AI tooling can improve client outcomes and workflows.
9/9/2025
Bridging the gap between human movement science and innovative technology to improve client outcomes.
Movement assessments, exercise programming, and client-centered outcomes with evidence-based methods.
Full‑stack development with Next.js and TypeScript. Strong focus on accessibility and performance.
Strength and conditioning programs tailored to goals, injuries, and readiness—with clear progress tracking.
Standard 1-10 pain scales often fail to capture the full picture of a client's experience. To address this, I developed HPPAP, an open-source web app that provides a more comprehensive, multidimensional pain assessment, allowing clinicians to gain deeper insights into a patient's condition.
While standard MET calculations are a useful baseline, they don't account for individual differences in fitness and physiology. I engineered a more precise solution: a Python-based machine learning model trained on real-world data to provide a more personalized and accurate prediction of a client's energy expenditure during exercise.
A clinical tool designed for physical therapists and trainers to streamline movement screening. This application uses AI to analyze observational and goniometric data from an overhead squat, identifying potential muscle imbalances. It then generates a fully customizable, data-driven corrective exercise plan, complete with exercise alternatives and exportable reports, enhancing diagnostic efficiency and client care.
How combining movement science with modern web and AI tooling can improve client outcomes and workflows.
9/9/2025
A free, open-source, and privacy-first web app designed to empower you in your pain management journey.
9/9/2025