I build bots, pipelines, and automation systems for companies that need AI to work in production — not just in a notebook.
# Multi-agent pipeline with dependency DAG from orchestrator import Pipeline, Agent pipeline = Pipeline( agents=[ Agent("ingest", depends_on=[]), Agent("process", depends_on=["ingest"]), Agent("generate", depends_on=["ingest"]), Agent("publish", depends_on=["process", "generate"]), ] ) result = pipeline.run(mode="parallel") print(result.summary()) # 4/4 agents completed. 0 failures.
Production systems, not prototypes.
Native iOS apps built in SwiftUI with on-device AI features — Core ML, Vision framework, local LLM inference. No cloud dependency required.
FastAPI backends with AI model integration, async endpoints, Pydantic validation, HMAC auth, rate limiting, streaming SSE, and OpenAPI docs. Ready to ship on day one.
Retrieval-augmented generation systems for documents, databases, and knowledge bases. Weaviate, ChromaDB, or pgvector. Hybrid search, reranking, grounded answers.
Parallel agent orchestration with dependency management, shared state, and failure recovery. Claude SDK or custom. Built to run unattended at scale.
End-to-end pipelines that ingest, process, generate, and publish. Batch or real-time. Overnight jobs that finish without intervention.
ETL pipelines, dataset curation, batch embedding generation, deep research reports. Runs on your data, at your scale, with full audit logs.
Hourly or fixed-scope. No retainers required.
Describe what you need and I'll reply same day. 100% remote — all work delivered remotely worldwide. Available for hardware & AI infrastructure consulting remotely too.