Engineered a full-stack AI-powered environmental intelligence platform aggregating real-time IoT sensor data and weather-pattern APIs to generate location-based alerts. - Reduced average API response time by 60% through multi-layer caching strategy and targeted MongoDB query indexing under concurrent user load - Designed a responsive React.js SPA dashboard with real-time Chart.js visualizations monitoring air quality and environmental risk thresholds across multiple metrics - Deployed via CI/CD pipeline (GitHub Actions) on Vercel with automated build and zero-downtime release flow - Integrated multiple third-party REST APIs for weather data aggregation with normalized data schemas Tech: React.js · Node.js · Express.js · MongoDB · REST APIs · Chart.js · Vercel · GitHub Actions · CI/CD