AI Engineer & Advisor

BRIDGING PHILOSOPHY // PRODUCTION AI

Leading AI Support System @ Coinbase — LangChain Interrupt Member of the Coinbase AI Tiger Team

AI Systems Consolelive demo · production AI patterns

connected

assistant

ask concrete questions about agents, RAG, or production architectures and I'll answer in a systems-minded way.

examples:

$ how would you design a production-grade rag system for a fintech?
$ what failure modes should I expect from long-running agents?

The stack

AI orchestration

LangChain agents via streaming API, checkpointing, and RAG-backed K8s pipelines—in production. Most teams never ship this; the bar is high and demand is real.

Distributed systems

Go, Python, React/Next.js. Kafka, event-driven services, K8s. Production-grade: config-driven, env for secrets, health checks, structured logging. Built to ship at scale.

Observability

LangSmith traces, evals, and StatsD metrics in Datadog. Full visibility, monitoring, and alerts on agents end-to-end.

AI-augmented dev

Early adopter and power user. AI tools have written nearly 100% of my code for going on two years. Two consecutive standout (4) ratings at Coinbase—shipping production-grade with the loop in the loop.