I build production-ready LLM-powered applications — not just demos. From tool calling and prompt engineering to anti-hallucination systems and grounded generation, I design AI apps that behave reliably in real business environments and deliver live via Gradio, Streamlit, or API.

LLM Integration & Prompt Engineering Connect your app to leading LLMs (GPT-4, Claude, Mistral, Phi) via OpenRouter or native APIs. Includes system prompt design, few-shot examples, and output formatting for consistent, high-quality responses.

Tool Calling & Function Layer Design a deterministic tool layer so your LLM can call external APIs, run SQL queries, trigger automations, or look up live data — with fallback logic so it never gets stuck.

Anti-Hallucination & Grounded Generation Implement citation-based outputs, context anchoring, and output validation so your app only answers what it actually knows. Built-in refusal behavior when context is insufficient.

Gradio / Streamlit App Deployment Package your LLM app as a live, interactive web application with a clean UI. Deployed to Hugging Face Spaces or your own hosting for immediate stakeholder access.

Testing, Evaluation & Documentation Run held-out evaluation sets to measure accuracy, citation rate, and refusal behavior. Full technical documentation included so your team can maintain and extend the app.

LangChain LiteLLM OpenRouter Hugging Face Gradio Streamlit Prompt Engineering LLM Developer AI Developer