Frontier Multi-Agent Systems
Senior-level orchestration for agents that plan, dream, act and self-review.
I work at a senior level in multi-agent architecture: orchestrators, specialist sub-agents, tools, memory, state, evals, dreaming/simulation loops and auditable decision logic. Not a chatbot — a frontier AI system that does the work.
- Orchestrator + specialized sub-agents (LangGraph)
- Tool calling, memory and state management
- Dreaming/simulation loops, self-review and evals
- Parallel execution tuned for cost and latency
RAG & Data Engineering
Pipelines that make your data usable for AI.
Retrieval and data pipelines that turn messy sources into trustworthy AI systems: ingestion, modeling, chunking, embeddings, hybrid search, re-ranking and citations — so the model stops guessing.
- Ingestion, modeling and quality checks
- Chunking + embedding pipelines
- Hybrid (vector + keyword) retrieval & re-ranking
- Cited, grounded answers with eval harness
- Vector DB and Postgres 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
Frontier Automations & Skills
Agentic workflows that replace manual drag with self-running systems.
I turn repetitive operations into frontier automations: event-driven workflows, agentic skills, tool-calling systems, triggers, monitors and escalation paths that plug into the tools you already use.
- Reproducible, versioned agentic skills
- Scheduled & event-driven automations
- Integrations with tools, APIs, monitors and alerts
- 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 multi-agent orchestration, dreaming loops and 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.