Chester Corin

Automating sensitive personal healthcare workflows without compromising data privacy through external cloud-based AI providers.

Architected a fully on-premise AI cluster. The decentralized setup leverages distributed inference across local hardware to securely process private health data and orchestrate intelligent automated workflows, completely removing cloud dependency. Currently experimenting with various agentic platforms to further enhance the automation capabilities, and personalized assistance.

Combating the overwhelming urge to "do it all" at once, which often leads to burnout and a loss of focus on the daily process.

A privacy-first iOS application that acts as an intelligent life coach. By utilizing Apple's local Foundational Models (CoreML), it offers personalized guidance to help users find their rhythm, ensuring all sensitive reflections and data remain strictly on-device. The project is currently serving as an active testing ground for advanced agentic AI coding workflows.

The surge in sports betting advertising sparked a curiosity: could the principles of card counting from 21 be applied to sports markets to find a genuine statistical edge?

An automated Python pipeline that scrapes live NHL and EPL data into a lightweight SQL database. It systematically analyzes matchups to identify probability mismatches, serving as both a predictive tool and a rigorous exercise in web scraping and data automation.

Evolving the passive "rubber duck debugging" technique into an interactive experience that physically resides on the desktop.

A 3D-printed, Raspberry Pi-powered companion that has grown from a simple weather widget into an LLM-integrated assistant. Flo listens to spoken problem descriptions and replies with randomized or context-aware questions, making the debugging process a true conversation.