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Ricardo BarbieriRB
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Ricardo Barbieri

@ricardobarbieri

Multimodal AI evaluator and prompt engineer focused on safe, high-quality LLM performance.

Brazil
Message

What I'm looking for

I want to evaluate and improve multimodal LLM systems end-to-end—prompt/eval pipelines, safety and hallucination detection, and RAG quality assurance—working with teams that prioritize measurement, edge cases, and real-world reliability.

I’m a highly technical AI specialist with 14 years at Banco Bradesco as a Systems/Data Analyst, specializing in automation, Excel/VBA, and modeling. I bring a strong engineering mindset to building measurable AI workflows.

Since 2022, I’ve focused on prompt engineering, multimodal evaluations, RAG systems, and LLM quality assurance. In my current role as a Multimodal AI Evaluator, I evaluate and refine multimodal models (text + image/video), with safety analysis and hallucination detection.

Before that, I worked as a Prompt Engineer & AI Evaluator (Outlier AI / DataAnnotation), performing LLm evaluation and reasoning tests, dataset creation and optimization, and edge-case stress tests. I also apply red-team practices against harmful content in complex scenarios.

Earlier in my career, I developed blockchain and smart contracts from 2013–2022, building solid foundations in Web3 and DeFi. Today, I combine that “systems” background with GenAI and evaluation to deliver reliable, high-performing AI solutions.

Experience

Work history, roles, and key accomplishments

PR
Current

Multimodal AI Evaluator

Prolific

Jan 2024 - Present (2 years 3 months)

Evaluated and refined multimodal AI models (text and image/video generation), focusing on safety analysis and hallucination detection. Conducted structured assessments to improve model quality and reliability.

OD

Prompt Engineer & Evaluator

Outlier AI / DataAnnotation

Jan 2024 - Jan 2025 (1 year)

Performed LLM evaluation and reasoning tests, including dataset creation, refinement, and optimization. Built edge-case and stress tests and applied red-team practices to assess harmful content in complex scenarios.

Education

Degrees, certifications, and relevant coursework

Universidade Estadual de Maringá logoUM

Universidade Estadual de Maringá

Bachelor of Science, Computer Science

2014 - 2017

Bachelor’s degree in Computer Science from Universidade Estadual de Maringá from 2014 to 2017.

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