LLM-powered automations, RAG pipelines, and MCP integrations wired into the tools your team already uses, so AI saves real time instead of adding another dashboard.
Most teams don't need a moonshot. They need AI wired into the workflows they already run, quietly doing the repetitive work.
I build practical LLM features, retrieval pipelines grounded in your own data, and MCP tools that let AI assistants safely act inside your systems, with evaluation and guardrails so the output stays trustworthy.
Summarize, extract, classify, and draft, automated with current models.
Answers grounded in your own docs and data, not the model's guesswork.
Custom MCP servers so AI can safely use your tools and APIs.
Prompts and structured outputs tuned for consistent, usable results.
Ingestion, chunking, embeddings, and vector search done properly.
Monitoring, evaluation, and safety checks so quality holds up.
I automate the repetitive language work, summarizing, extracting, classifying, and drafting, using current models wired directly into your workflow so your team stops doing it by hand.
Retrieval-augmented generation grounds AI answers in your own documents and data. I handle ingestion, chunking, embeddings, and vector search so responses are accurate and cite real sources.
Using the Model Context Protocol, I build servers and tools that let AI assistants safely read from and act in your systems, CRMs, databases, and APIs, with the right permissions.
AI is only useful if you can trust it. I add evaluation, monitoring, and guardrails so outputs stay accurate, safe, and predictable as usage grows.
Tell me what you're trying to automate and I'll map out a practical build. Flat $30/hr, no tiers, no markup.