I build LLM-powered systems that work in production, not just in demos. Agents that reason, RAG pipelines that retrieve accurately, voice AI that handles real conversations.
Top Rated Plus | 100% Job Success Score
If you are building an AI product or automating a workflow with LLMs, I can take it from idea to deployed system.
What I specialize in:
🧠 LLM Agents and Agentic Workflows
Multi-agent systems, autonomous tools, and complex orchestrations using LangChain and LangGraph. I build agents that plan, use tools, delegate to sub-agents, and handle edge cases without falling apart.
🔍 RAG Systems and Knowledge Retrieval
Production-grade RAG pipelines using ChromaDB, Supabase, or Pinecone. Hybrid search, re-ranking, context grounding, and retrieval evaluation baked in. Your LLM stops hallucinating and starts answering from your actual data.
🎙️ Voice AI and Real-Time Conversational Systems
Voice agents built with ElevenLabs, Whisper, Livekit, and Vapi. Low-latency, interruption-aware, and trained on your domain knowledge.
🔗 MCP and Tool Integrations
Model Context Protocol servers, API tool integrations, and custom function-calling pipelines that connect your LLM to the systems it needs to act on.
📦 Models I work with:
OpenAI, Anthropic Claude, Google Gemini, DeepSeek, Mistral, and open-source models. I pick what fits your use case and budget, not just the default.
Why clients come back:
✅ I think about the business problem first, then the AI solution
✅ I write clean, documented code you can maintain after I am done
✅ I communicate clearly and flag problems early, no surprises
✅ I have delivered production AI systems across logistics, healthcare, and SaaS
Recent projects:
If you need someone who understands LLMs deeply and can ship a real system, send me a message. I respond within 4 hours.
Thomas W. earns an estimated $7.8k/mo. That's 5.4× the typical freelancer and more than 99.78% of everyone we track.