Edwin Roberto Rivera

Built and optimized internal portals using React, Next.js, and Node.js/FastAPI, enhancing data accessibility for global engineering teams. Developed AI-assisted search and summarization tools with LangChain and OpenAI, reducing documentation lookup time by 42%. Architected REST APIs and PostgreSQL schemas for secure and efficient handling of large datasets. Implemented asynchronous processing and Redis caching, improving backend throughput and scalability. Enhanced frontend rendering with server-side rendering (SSR) and dynamic imports, improving load performance. Expanded test coverage with Jest, Cypress, and Storybook. Integrated role-based authentication using JWT and OAuth2 to secure internal applications. Containerized services with Docker and automated deployments via GitHub Actions and AWS ECS. Collaborated with data science teams to embed AI pipelines into frontend workflows.

Developed and maintained full-stack modules using React, Next.js, and Node.js, integrating REST and GraphQL APIs to support real-time customer engagement features. Designed scalable backend services in NestJS, implementing microservice-based communication and caching layers that reduced API latency by 30%. Integrated AI-driven recommendation and content personalization modules using OpenAI APIs and vector databases, improving session engagement by 24%. Built and deployed serverless applications on AWS Lambda and DynamoDB for cost-efficient scaling during high-traffic periods. Implemented data validation and schema-driven API design with TypeScript and Prisma, reducing runtime errors and improving maintainability. Improved frontend performance through lazy loading, code splitting, and API optimization, increasing Core Web Vitals metrics by 26%.

Built internal portals using React, Next.js, and Node.js/FastAPI, enhancing data accessibility for global engineering teams. Developed AI-assisted search and summarization tools with LangChain and OpenAI, reducing documentation lookup time by 42%. Architected REST APIs and PostgreSQL schemas for secure and efficient handling of large datasets. Implemented asynchronous processing and Redis caching, improving backend throughput and scalability. Enhanced frontend rendering with SSR and dynamic imports, improving load performance. Expanded test coverage with Jest, Cypress, and Storybook, increasing regression reliability. Integrated role-based authentication using JWT and OAuth2 to secure internal applications. Containerized services with Docker and automated deployments via GitHub Actions and AWS ECS. Collaborated with data science teams to embed AI pipelines into frontend workflows.