Leticia Mirelly
Lead AI Engineer building production AI systems, multi-LLM workflows, and local-first verification tooling for AI coding agents
Brasília, Brazil
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Leticia Mirelly is a Lead AI Engineer and Forward Deployed Engineer working on production AI systems, multi-LLM workflows, AI cost visibility, and agent reliability.
She has spent the last years building B2B software and AI-native systems across backend architecture, LLM workflows, retrieval, structured outputs, and cost-aware production patterns.
Her current work focuses on the control layer behind AI systems: how teams define scope, measure quality, track cost, understand failures, and decide when AI output is actually ready to trust.
She is currently building Cambone, a local-first AI coding quality gate for teams using tools like Codex, Claude Code, Cursor, and Windsurf. Cambone explores task contracts, attribution, pre-PR checks, repair prompts, and the shift from vibe coding to verified coding.
Leticia writes about production AI, AI coding agents, LLM systems, evals, FinOps, and the engineering decisions that turn AI from a promising demo into reliable work.
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