Intro I help engineering organizations move agentic AI workflows from experimentation to safe, cost-governed production use, so autonomy doesn’t come at the expense of control.
What I Deliver
- Agent orchestration patterns using LangGraph and multi-step workflows
- Cost and latency budgets for LLM and agent workloads
- Human-in-the-loop review and safety guardrails
- Observability tailored to agentic pipelines
- LLMOps pipelines for continuous evaluation
How I Work I treat agentic workflows like any other production system: instrumented, tested, and budgeted, with clear boundaries on what agents are allowed to decide on their own.
Why It Matters Agentic AI can multiply engineering output, but only when cost, latency, and safety are designed in from the start rather than bolted on afterward.