Full-Stack Web Developer with extensive expertise across front-end, back-end, DevOps, and AI-driven solutions. Skilled in architecting and delivering scalable, maintainable, and intelligent web applications for diverse industries and platforms. Proficient in leading CMS platforms including Drupal, WordPress, Magento, and CS-Cart, with strong back-end capabilities in PHP (Laravel – TALL, VILT, RILT stacks), Node.js (NestJS), and Go (Gin, Fiber, tview). Front-end expertise includes Vanilla JavaScript, React/Next.js, and Vue/Nuxt.js, ensuring seamless user experiences. Experienced in CI/CD pipelines, containerization, and cloud-native deployments, applying modern DevOps best practices. Actively developing AI Agents leveraging RAG, MCP, and orchestration frameworks such as LangChain, n8n, integrating vector databases (Pinecone, Weaviate, FAISS), embedding models, prompt engineering, and multi-agent coordination to build intelligent workflows and AI-driven applications. Actively learning MLOps, focusing on model training pipelines, experiment tracking (MLflow), model deployment with Docker/Kubernetes, vector databases for retrieval, and monitoring AI services in production. A collaborative team player with proven ability to take end-to-end ownership, from system architecture and design to development, testing, deployment, and continuous improvement.…Full-Stack Web Developer with extensive expertise across front-end, back-end, DevOps, and AI-driven solutions. Skilled in architecting and delivering scalable, maintainable, and intelligent web applications for diverse industries and platforms. Proficient in leading CMS platforms including Drupal, WordPress, Magento, and CS-Cart, with strong back-end capabilities in PHP (Laravel – TALL, VILT, RILT stacks), Node.js (NestJS), and Go (Gin, Fiber, tview). Front-end expertise includes Vanilla JavaScript, React/Next.js, and Vue/Nuxt.js, ensuring seamless user experiences. Experienced in CI/CD pipelines, containerization, and cloud-native deployments, applying modern DevOps best practices. Actively developing AI Agents leveraging RAG, MCP, and orchestration frameworks such as LangChain, n8n, integrating vector databases (Pinecone, Weaviate, FAISS), embedding models, prompt engineering, and multi-agent coordination to build intelligent workflows and AI-driven applications. Actively learning MLOps, focusing on model training pipelines, experiment tracking (MLflow), model deployment with Docker/Kubernetes, vector databases for retrieval, and monitoring AI services in production. A collaborative team player with proven ability to take end-to-end ownership, from system architecture and design to development, testing, deployment, and continuous improvement.WWWW…