Raúl Luna

Designed, implemented, and evaluated AI-driven applications supporting internal teams, including assistants, document analyzers, and workflow automation tools. Built production-ready pipelines for data ingestion, embeddings, and retrieval-augmented generation (RAG). Integrated AI services with backend systems and user interfaces to enable seamless automation and knowledge access across the company. Conducted systematic testing and performance evaluation of AI solutions, ensuring scalability, reliability, and measurable improvements in team productivity.

Early hire at a media startup using LLMs to synthesize articles and build personalized feeds and newsletters. Contributed significantly to end-to-end development including front end, back end, and DevOps, developing a large portion of the codebase. Enhanced user engagement through personalized content suggestions and daily email personalization powered by LLMs. Created AWS-based alerting (CloudWatch, SNS) and real-time Sentry alerts for proactive issue detection. Maintained zero-downtime public launch by coordinating fixes, deploying patches, and managing CI/CD pipelines. Integrated advanced NLP solutions with asynchronous workflows involving ChatGPT, Claude, OpenRouter, Gemini, and Llama APIs for content curation and semantic search using vector embeddings and OpenSearch. Developed and maintained Node.js/Nest.js microservices with GraphQL APIs and queue-based processors for scalable background task handling. Built dynamic React user interfaces integrating AI-driven components for enha

Designed and developed microservices for Single Sign-On (SSO) and real-time notification systems supporting high-volume financial operations. Created a notification microservice to streamline payment reminders, increasing on-time payments and revenue. Mentored junior developers, enforcing best practices in code quality, testing, and documentation.