4Tius Fitness Data Tracker
2013
A Fitbit-connected activity dashboard and API for tracking fitness metrics and monitoring progress.
On a contract for 4TIUS, I built the web dashboard and API for collecting and presenting activity data from wearables, including Fitbit. The application used AngularJS and MongoDB on AWS.
I designed responsive analytics views for steps, distance, calories, and sleep-related metrics, and implemented the API integration that let coaches and users view progress without manually exporting device data.
Selected contributions
- Designed and developed a fitness data tracking system with Fitbit integration.
- Built a responsive web dashboard for real-time analytics and monitoring.
- Implemented secure API endpoints between the app and fitness devices.
Technologies
Experience
Latest Articles
Generative Interfaces
User intent can drive how software is composed and distributed, from declarative UI specs and MCP Apps in assistants to design systems machines can reason about at runtime.
Agentic Domain-Driven Design
Shared domain language helps teams and coding agents preserve business meaning, define clear boundaries, and avoid implementing the wrong assumptions.
Iteration Velocity
Previews, gradual rollouts, and small migrations shorten the path from an idea to evidence that it improves the product.
Context Engineering
An agent harness orchestrates memory, tools, skills, and retrieved information so models receive the right context at the right moment.
Product Engineering
Product engineering connects user needs, design, implementation, and production. Coding agents make end-to-end ownership more valuable.
AI Coding Factories
A reliable AI coding factory coordinates tasks, isolated execution, verification, and production feedback into a repeatable delivery process.
AI Agents are Infrastructure
Running agents in production means managing tools, state, permissions, and recovery—not just choosing a capable language model.
The Forward Deployed Engineer
Forward deployed engineers work with customers to turn AI into production systems, bridging product engineering, integrations, and adoption.