
Yasmim Ferreira
@yasmimferreira
I build production AI agents, RAG systems, and LLM evaluation platforms for reliable customer support.
What I'm looking for
At CloudWalk, I build and harden merchant-facing AI agents, migrating 30+ production tools to Model Context Protocol and creating a 12-skill stateful GraphAgent. I also redesigned retrieval with PostgreSQL and PGVector, reducing query latency from 10–30 seconds to 50–200ms while achieving 98.68% coverage.
I've built LLM benchmarking, evaluation, observability, and proactive-insight systems using Python, FastAPI, LangChain, LangGraph, RAGAS, OpenTelemetry, Grafana, and PostgreSQL. Previously, I supported customers through SQL-based troubleshooting, Python automation, and close collaboration with Product and Engineering.
Experience
Work history, roles, and key accomplishments
Redesigned a production conversational agent's tool-calling architecture by migrating 30+ tools to MCP and rolling out a stateful GraphAgent. Led zero-downtime refactors, built RAG benchmarking frameworks, and developed LLM observability and evaluation platforms.
Education
Degrees, certifications, and relevant coursework
Universidade Federal do Ceará
Bachelor of Science, Computer Engineering
2026 -
Pursuing a Bachelor of Science in Computer Engineering at the Universidade Federal do Ceará.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Portfolio
github.com/ysmmfeSalary expectations
Job categories
Skills
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