Lead
Fernando Barbosa Rodrigues is an AI QA Engineer at RHEI, specializing in LLM quality evaluation and machine learning engineering.
Fernando defines evaluation strategies for LLM quality using LangChain and LangSmith, significantly improving pass rates on critical workflows by 90% and reducing regressions by 50%.
Fernando owns "Golden Datasets" as a product asset, cutting time-to-evaluate by 100% and aligning stakeholders on quality standards.
Previously, as a Quality Analyst & Machine Learning Engineer at Cuped.ai, Fernando engineered and optimized AI agents using LangChain and advanced Prompt Engineering techniques, achieving a 300% improvement in response time and a 100% increase in answer accuracy.
Fernando also served as an AI Product Manager and Machine Learning Engineer at GENIE AI, where Fernando led product-focused AI evaluation for LLM-powered features, bridging user needs with model behavior and engineering execution, and improved LLM answers using larger training datasets with semantic routing to avoid hallucinations.
Currently, Fernando is focused on partnering with product and engineering teams to provide clear, data-driven feedback for model fine-tuning and the development of new AI skills, while establishing release gates and success metrics for AI features.
Bio is AI generated & may not be accurate.
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