Accounting agents
At Allia, I work with the CTO and Product team on AI for accounting firms, from the copilot’s agent runtime to document ingestion.
Tools and context
I designed the multi-agent copilot with LangChain and LangGraph, hybrid retrieval, accounting tools and MCP integrations.
Learning from failures
I built evaluations and Langfuse tracing to inspect answer quality, citations, latency, cost and failure modes.
Changes to contextual email generation reduced quality regressions by 68% and critical errors by 89% in internal evaluations.
In a separate agent evaluation, the selected configuration reduced latency by 32% and cost by 9%, with better grounding and citations.
Ingestion at scale
Temporal workers, bounded concurrency and batched vector writes made document ingestion reliable at approximately 340,000 workflows per week.
Built with Python · TypeScript · LangChain · LangGraph · MCP · Temporal · Langfuse