Building AI tools, mobile products, and data-heavy experiments.
I'm Anthony Hayward, an 18-year-old high school graduate currently looking for internships.
I work across applied AI, native-feeling product interfaces, automation, and data systems. Most of my projects start from a concrete user workflow, then expand into the engineering needed to make that workflow fast, reliable, and easy to use.
Recent work on this profile includes:
- iOS-first consumer apps built with Expo and React Native
- AI-assisted nutrition and productivity tools
- market-data and trading research infrastructure
- computer vision and interaction experiments
- voice assistant and desktop automation projects
- local-first memory search and visual recall interfaces
| Project | What it is | Stack |
|---|---|---|
| memorium | Local-first visual memory assistant for searchable screen history, OCR, and voice recall. | Python, React, Tauri |
| Fuel-Up | iOS-first fuel discovery app with live station aggregation, trend analysis, and predictive fueling onboarding. | Expo, React Native, JavaScript |
| crypto-one | Transformer-based crypto trading research stack for 15-minute SOL data, model evaluation, and live scoring experiments. | Python |
| MacroScan | Mobile nutrition app for estimating calories and macros from meal photos. | Expo, React Native, JavaScript |
| attendify | Attendance and member-management platform for clubs, schools, and organizations. | TypeScript, React |
| whiskersmco | Frontend product/site work focused on polished presentation and modern web UI. | TypeScript |
| M.I.L.E.S | Cross-platform voice assistant with prompt adaptation, memory, system actions, and Spotify control. | Python |
- objectTrack: OpenCV-based object tracking and re-identification workflow.
- handTrack: Hand-gesture mouse control with OpenCV, MediaPipe, and PyAutoGUI.
- Jarvis-ChatGPT-VoiceAssistant: Early voice assistant project that led into later assistant systems.
- MagicTerminal: Command-line assistant experiment for macOS workflows.
- Product engineering with strong UX and interaction detail
- Applied machine learning and inference pipelines
- Data validation, simulation, and experiment tooling
- Systems that turn complex tasks into direct user-facing workflows
This profile changes as projects are cleaned up, documented, and published. The repositories above are the best place to see current code, setup instructions, and project-specific architecture.