Multi-agent AI systems with real memory, orchestration and tool calling — not a single prompt wrapped in a chat UI.
Applied AI systems built on real infrastructure — local and hosted LLM inference, retrieval, and structured knowledge, not prompt-only prototypes.
System architecture design for AI, Web3 and full-stack products — the design decisions made before the first line of feature code.
Automation systems that replace manual, repetitive operational work with reliable pipelines — not brittle scripts.
Autonomous trading system architecture — multi-agent decision pipelines, execution infrastructure and risk management, not indicator scripts.
Production React and TypeScript interfaces — from Web3 wallet-connected apps to SEO-critical, statically prerendered platforms.
End-to-end product development — frontend, backend APIs, data layer and deployment, owned by one architect instead of handed off across a chain.
MVP development for founders — a real architecture built to be extended, not a throwaway prototype that gets rewritten at the first sign of traction.
Independent technical advisory on AI, Web3 and system architecture decisions — before they get expensive to reverse.
