Harry Jones

Led development of core AI-powered features using React, Node.js, and FastAPI such as real-time content generation, automated workflows, and contextual recommendations. Integrated OpenAI, Cohere, and Hugging Face models in backend systems. Architected retrieval-augmented generation pipelines using LangChain, Pinecone, and PostgreSQL. Built admin dashboards for AI performance monitoring and managed deployment of secure APIs on AWS. Prototyped semantic search features improving customer support response relevance by 40%. Led testing with Playwright and Cypress, implemented fine-tuning and prompt engineering, designed CI/CD pipelines, and mentored team members in AI integration and prompt design. Evaluated AI observability tools for production monitoring.

Led development of core AI-powered features, combining React, Node.js, and FastAPI to deliver real-time tools for intelligent content generation, automated workflows, and contextual recommendations. Integrated OpenAI, Cohere, and Hugging Face models into backend systems for summarization, chat interfaces, SEO optimization, and content rewriting. Architected hybrid retrieval-augmented generation pipelines using LangChain, Pinecone, and PostgreSQL, enabling dynamic, data-driven responses. Built admin dashboards for AI performance monitoring, prompt testing, token usage, and cost control. Collaborated with ML engineers to deploy models as scalable APIs on AWS Lambda, ECS, and CloudFront. Prototyped semantic document search to improve customer support relevance by 40%. Applied Playwright and Cypress for robust testing of AI-driven UI states. Implemented fine-tuning and prompt engineering to align model outputs with goals. Designed CI/CD pipelines with GitHub Actions, Docker, and AWS Parame

Led backend system development and optimization using Java and Spring Boot for scalable APIs supporting real-time AI personalization services. Designed RESTful and GraphQL endpoints, integrated ML models from OpenAI, scikit-learn, and TensorFlow into production workflows. Developed data pipelines and managed embedding/vector search infrastructure for personalized search. Built dashboards exposing AI insights, validated model performance with monitoring layers, and implemented CI/CD pipelines with Jenkins. Maintained high test coverage and improved database performance using PostgreSQL and Redis caching.