Jigar T.

I help companies turn AI ideas into practical systems that work with their existing data, software and business processes. My current focus is building and implementing: - RAG systems that securely use company documents and internal knowledge - AI assistants, copilots and custom chat applications - AI agents for multi-step business processes - AI-powered workflow automation - Knowledge management and enterprise search systems - LLM integrations with existing applications, APIs, CRMs and databases - Custom AI solutions using Python, Node.js and modern AI APIs I have more than 16 years of software engineering experience, starting in 2010. Before specialising in AI, I spent many years building full-stack web and mobile applications, APIs, databases and complex business systems. This full-stack background is valuable in AI projects. A successful AI solution needs more than a model or a prompt—it also needs reliable APIs, secure data access, a clear user interface, integrations, monitoring and maintainable architecture. I work with technologies including Python, FastAPI, Django, Flask, Node.js, React, Next.js, SQL and NoSQL databases, vector databases and cloud infrastructure. My day-to-day AI development workflow also includes Anthropic Claude, Claude Code, OpenAI Codex and MCP servers. I use them to build, test and connect AI agents with company knowledge, APIs and internal business systems. I can help at different stages: - Understanding where AI can genuinely improve your business - Designing the solution and choosing the right architecture - Building a proof of concept or MVP - Connecting AI with your documents and internal systems - Automating repetitive operational workflows - Improving an existing AI implementation - Taking an AI prototype towards a reliable production system If you have company knowledge spread across documents, repetitive processes that require manual work, or an existing product that could benefit from AI, I can help you define and implement a practical solution.