AI Agents & RAG
I design multi-agent systems and RAG pipelines that integrate into your existing product stack. From vector database strategy to autonomous workflow orchestration, I focus on reliability, observability, and measurable business outcomes.
The Challenge
Most AI prototypes never reach production. They are slow, expensive, unpredictable, and impossible to debug. Moving from a demo to a dependable system requires architecture, not just prompts.
What I Deliver
- Multi-agent architecture: design autonomous agents that collaborate, delegate, and recover from failures.
- RAG pipelines: connect LLMs to your documents, databases, and knowledge bases with high retrieval accuracy.
- Reliability guardrails: validation, structured output, fallback flows, and human-in-the-loop checkpoints.
- Observability: tracing, cost tracking, and evaluation frameworks so you can improve continuously.
Typical Engagement
We start with a two-week architecture sprint. I audit your current data, define the agent boundaries, and build a working prototype. From there, we move to production integration with your existing Rails, Node, or Python backend.
Technologies
OpenAI, Anthropic, LangChain, vector databases (pgvector, Pinecone, Weaviate), custom Python services, and REST or event-based integration with your existing stack.
Common Questions
How do you usually work with clients?
I start with a free 30-minute diagnostic call. From there, we agree on a scope - from a single architecture review to an ongoing fractional CTO engagement. I work remotely, embedded with your team via Slack and weekly syncs.
Do you write code or only advise?
Both. I bring 20 years of hands-on engineering experience, so I can lead architecture reviews, pair with your developers, build prototypes, and review production code. The exact balance depends on the engagement.
What tech stacks do you cover?
My deepest expertise is in Ruby on Rails, AI/LLM systems, and mobile cross-platform development. I also have strong experience with PostgreSQL, Redis, Docker, React, Next.js, and modern DevOps workflows.
Are you available for full-time roles?
Currently, I focus on fractional CTO work, consulting, and project-based engagements. For the right mission, I may consider a hybrid advisory role. Let's talk.
Interested in this service?
Let's discuss how I can help your team with ai agents & rag. Book a free discovery call.
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