Selected software projects spanning AI, health, and systems engineering.

A private iPhone and Apple Watch app focused on glucose prediction, therapy context, and forecast-driven decision support built around on-device ML.

• Centers on on-device glucose forecasting with Core ML, personalization, retrieval, and forecast-confidence work.
• Explores exercise-impact previews and what-if workflows that show how planned activity may affect glucose before a workout starts.
• Includes pattern-recognition and insight work over historical glucose and therapy data, alongside phone, widget, Live Activity, and Apple Watch surfaces.
• Includes insights and trend surfaces for forecast accuracy, recurring time-of-day patterns, exercise impact, and post-bolus response built from merged CGM and therapy history.

A long-running from-scratch operating system spanning bootloader, kernel, scheduler, virtual memory, VFS, PE-style program loading, and a growing native userland, with local AI integrated directly into the platform.

• Boot path from loader to kernel bring-up and user-mode runtime.
• Integrated local Qwen-based inference and agent tooling using GGUF models, native runtime components, and queue-driven workflows.
• NT-style section mapping, demand paging, and file-backed memory to support heavier native workloads.
• Desktop shell, native apps, and iterative systems debugging.

Supporting platform work built alongside the operating system: networking, TLS, windowing, task inspection, and first-party native apps.

• e1000-based IPv4 networking with ICMP, UDP, and TCP support.
• TLS client tooling for secure outbound requests.
• Window manager, Finder, and Task Manager style native desktop apps.

A retired macOS menu bar utility formerly distributed through the App Store for viewing live Dexcom glucose data without opening a separate app.

• Pulls glucose data from Dexcom Share and shows current value and trend at a glance.
• Built from a personal need to reduce context switching while working.
• No longer maintained and retired from the App Store in 2024; included here as a concise project reference.