Sam Rome

Grew @thepowerofrome to over 125,000 followers by building and executing a content system driven by analytics, trend tracking, and strategic iteration. Scaled the audience through optimized posting schedules, short-form hook development, and data-backed decisions that prioritized engagement and shareability.

Developed a HIPAA-compliant AI solution for small businesses in the healthcare sector by deploying local large language models (LLMs) on dedicated Mac Minis. This setup ensured data privacy and regulatory compliance without relying on third-party cloud services. I automated key workflows involving medical document processing, including intake form summarization, patient record structuring, and internal communication handling. The solution significantly reduced operational bottlenecks, lowered costs compared to SaaS-based AI tools, and delivered faster, more secure access to critical information.

This Django-based project for Coach Base is built for scalability, performance, and user experience. It leverages a modern tech stack—including Django 4.2, Crispy Bootstrap 5 for sleek form designs, Pandas for data manipulation, and Pillow for rich image handling. With robust dependency management and clean, maintainable code using Black formatting, the landing page offers a seamless experience for both coaches and clients. It’s a solid foundation for expanding Coach Base’s coaching ecosystem.

I’ll show you exactly how to set up WSL, Docker, and Moose on a Windows machine. This is a simple, no-talking demo with clear on-screen instructions, perfect for anyone looking to get Moose running on Windows quickly and cleanly. (If you right click and open image in new tab or visit the website the video will load much cleaner) First, we install Ubuntu through the Microsoft Store and get WSL up and running. Then we move on to installing Docker Desktop, making sure WSL 2 integration is enabled during the setup. Once Docker is ready, we head over to the FiveOneFour website to grab the Moose install command, which we paste into our Ubuntu terminal. After Moose is installed, we use the CLI to create a new project using the TypeScript template and launch the development server. Finally, we open the project in VS Code to explore the structure and see what was generated. This is a simple, no-talking demo with clear on-screen instructions, perfect for anyone looking to get Moose running on Windows quickly and cleanly.