Leonard Beadle

Led development of core web features for Luna's SaaS health education platform using React and TypeScript, delivering medically verified content and tools to a global audience of over 100,000 teen users. Designed and built a scalable, reusable component library in React, accelerating development cycles for modules like mood tracking, period logging, and interactive quizzes, cutting feature delivery time by 25%. Integrated GraphQL APIs to optimize data access across health tracking and AI-generated content modules, reducing server calls by 25% and improving load times. Developed an interactive map-based content discovery feature using React, Leaflet, and TypeScript, increasing user engagement by 35%. Led migration from JavaScript to TypeScript, improving code quality and reducing bugs by 20%. Implemented Redux for state management across user preferences and content delivery. Conducted unit testing with Jest and React Testing Library, achieving over 90% test coverage and reducing post-r

Led development of core web features for Luna’s SaaS health education platform, delivering medically verified content and tools to a global audience of over 100,000 teen users. Designed and built a scalable, reusable React component library that accelerated delivery for modules like mood tracking, period logging, and interactive quizzes, reducing feature delivery time by 25%. Integrated GraphQL APIs to optimize data access across health tracking and AI-generated content modules, cutting server calls by 25% and improving load times. Implemented a map-based content discovery feature using React, Leaflet, and TypeScript to locate teen health resources and Luna sub-organizations, increasing user engagement by 35%. Migrated the codebase from JavaScript to TypeScript, improving code quality, reducing bugs by 20%, and enhancing long-term maintainability. Established Redux-based state management for user preferences and content delivery. Achieved >90% unit test coverage with Jest and React T

Developed and maintained key features of the Piggy smart shopping platform using React, TypeScript, and Node.js, boosting site performance and user savings engagement. Built a dynamic, real-time coupon and cashback interface with React and Redux, improving user retention by 15%. Integrated Next.js for server-side rendering and SEO optimization across shopping tools and landing pages, increasing organic traffic by 25%. Migrated the backend to a microservices architecture using Docker and Kubernetes, significantly improving platform scalability, maintainability, and uptime during peak seasons. Designed and optimized PostgreSQL schemas and queries to handle large-scale transactional data from e-commerce partners, reducing page load times and API latency by 30%. Collaborated with product and data teams to ensure real-time syncing of deal data, enhancing user trust in the accuracy of coupon availability and cashback opportunities.