Devised a distinctive feature leveraging MediaPipe’s Hand Landmarks and Pose machine learning models to capture and analyze exercise movements, leading to a 30% increase in feedback precision and exercise effectiveness.

Integrated a comprehensive system to monitor user progress and calculate UPDRS (Unified Parkinson’s Disease Rating Scale) scores based on exercise performance, providing valuable insights and bolstering user motivation.

Crafted and implemented responsive UIs using React JS, complemented by highly efficient server-side APIs with Node.js. This also emphasized inclusivity by ensuring ADA-compliant web designs for enhanced usability.

Achieved a substantial reduction of 20% in both production and build time by migrating legacy Javascript code to modern Typescript React Components. Leveraged Typescript’s strong typing and interfaces to catch potential bugs at compile-time, utilized generics for reusable code, and incorporated advanced tooling and linters to enhance code quality and maintainability.

Optimized logic of react components to increase the rendering performance by 15% with 100% deadline adherence.

Integrated technologies like GraphQL using Apollo for efficient data fetching, ensuring seamless and quick response times.

Employed Jest for comprehensive testing, ensuring that all functionalities and features of the platform were robust and bug-free.

Implemented push notifications using AWS Pinpoint, resulting in a 20% increase in user retention by effectively notifying users about course updates.