Get notifications about new remote jobs right in your browser! › I am a Data & AI Engineer with hands-on experience in workflow automation, AI agent configuration, enterprise customer support, and SaaS product implementation.
I have worked on configuring complex automations using tools like Zapier and n8n-ready workflows, and I focus on building practical solutions that reduce manual effort and improve operational efficiency.
My background includes evaluating and optimizing LLM systems, performing prompt engineering, and supporting enterprise AI workflows with structured validation and troubleshooting.
I also have strong experience in data analysis, ETL pipelines, predictive modeling, dashboards, and business intelligence across commercial, supply chain, and revenue operations contexts.
In addition to analytics and automation, I have built and contributed to production-ready SaaS and AI products, including platforms for clinical workflow automation and career intelligence.
I am bilingual in Portuguese and English, and I bring a pragmatic, solution-oriented approach to engineering, analytics, and AI operations.
Evaluated and validated large language models for accuracy, consistency, and reasoning quality; performed prompt engineering and agent configuration optimization for enterprise AI workflows; contributed to continuous AI model improvement through structured evaluation processes.
Developed predictive models using machine learning for customer retention strategies; structured ETL pipelines with Airflow and BigQuery; built strategic dashboards and configured data automation to reduce manual reporting; analyzed customer lifecycle, acquisition, and retention patterns in Salesforce CRM.
Managed strategic data and commercial intelligence for major retail chains; developed pricing analysis, competitiveness models, and category management strategies; led sponsored projects generating commercial rebates; drove wine category resorting and category management initiatives that increased revenue.
Led S&OP process development across commercial, production, and logistics teams; automated manual processes using Python and SQL; built executive dashboards in Power BI; supported production capacity and inventory decisions with executive leadership.
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