AI Services

I build conversational AI systems that are genuinely useful to your users — not frustrating chatbots that fail after two questions. Every bot is connected to your real data sources, understands your business context, and knows when to escalate to a human. Built with proper memory, tool use, and fallback logic.

Retrieval-Augmented Generation is the right architecture when you need LLMs to work with your specific data. I design and build end-to-end RAG pipelines — from document processing and chunking strategy to vector retrieval, re-ranking, and response generation — with built-in quality controls to minimize hallucination.

Not every AI project needs to be built from scratch. Sometimes the highest-value move is adding targeted AI capabilities to what you already have. I integrate LLM-powered features cleanly into existing stacks — with proper error handling, fallbacks, latency management, and cost controls.

Traditional automation handles simple if-this-then-that logic. AI automation handles the messy middle — reading documents, making judgment calls, generating content, and routing decisions intelligently. I build pipelines that would previously require a dedicated human, now running automatically.

When you need a complete product built around AI capabilities, I handle the full stack. That means React/Next.js frontends, Python backends, database architecture, API design, authentication, and deployment — with AI woven throughout rather than bolted on.

Internal tools are often an afterthought — built quickly and painful to use. I build them properly: fast, intuitive, and with AI capabilities that make your team genuinely more effective. Whether it's an analytics dashboard, CMS, or operations panel, the goal is a tool people actually want to open.