• AI application development using Python, FastAPI, and modern LLM frameworks
• Retrieval-Augmented Generation (RAG) systems for documents, knowledge bases, and enterprise workflows
• AI agents with tool integration, workflow automation, and API orchestration
• Machine learning pipelines for prediction, analytics, and intelligent automation
• Backend architecture with REST APIs, async processing, database integration, and scalable deployment
• Frontend development using React, Next.js, Tailwind CSS, and modern component libraries
• Full-stack dashboards for AI products, analytics platforms, and internal tools
• Integration with vector databases, cloud services, and third-party APIs