AI Agents & Swarms
Autonomous systems that plan, act and coordinate.
I design multi-agent systems with LangGraph: an orchestrator that delegates to specialized sub-agents, with tools, memory and auditable decision logic. Not a chatbot — a system that does the work.
- Orchestrator + specialized sub-agents (LangGraph)
- Tool calling, memory and state management
- Human-in-the-loop checkpoints and audit logs
- Parallel execution tuned for cost and latency
RAG & Knowledge Systems
Answers grounded in your own data.
Retrieval-augmented pipelines that turn messy documents into trustworthy answers: ingestion, chunking, embeddings, hybrid search, re-ranking and citations — so the model stops guessing.
- Ingestion + chunking + embedding pipeline
- Hybrid (vector + keyword) retrieval & re-ranking
- Cited, grounded answers with eval harness
- Vector DB setup (pgvector, Pinecone, Qdrant)
Multi-Cloud & DevOps
Shipped, scaled and observable.
I deploy and operate AI workloads across GCP, AWS and Azure: containers, serverless, CI/CD, infra-as-code and observability. The system runs reliably and you can see exactly what it’s doing.
- Containerized deploys (Docker, Cloud Run, ECS, AKS)
- CI/CD pipelines and infra-as-code
- Secrets, cost guards and rate limiting
- Logging, tracing and alerting for LLM apps
Automations & Skills
Stop doing by hand what a system can do.
I find the repetitive work in your operation and wrap it in reproducible skills and scheduled automations — same input, same output, every time, plugged straight into the tools you already use.
- Reproducible, versioned skills
- Scheduled & event-driven automations
- Integrations with your existing tools & APIs
- Docs and handoff so it lives in your stack
Full AI Product Design & Build
The whole thing — UX, code and the AI inside.
When you need the complete product: I design the interface, build the full-stack app and embed the AI so it feels like one coherent thing. Design taste and engineering depth from the same person.
- Product & UX design (Figma → shipped)
- Full-stack build (Next.js, TypeScript, APIs)
- AI features embedded natively in the UX
- From prototype to deployed, polished product
How an engagement runs
From brief to running system
A clear, repeatable path — with a swarm of agents accelerating every stage.
Map
We pin down the real problem, the inputs and the edge cases — before writing a line of code.
Design
I design the system and the experience together: architecture, data flow and the interface around it.
Build
I build it — accelerated by my swarm running research, code and review in parallel.
Ship & operate
Deployed across the cloud you choose, with monitoring, cost guards and a clean handoff.