Vinícius Guerra e Ribas

Rio de Janeiro, Brazil (Remote)

• Architect and develop advanced Generative AI solutions using LLMs (GPT) and frameworks like CrewAI, LangChain, LangGraph, and HuggingFace.
• Lead the complete lifecycle of AI projects, from architecture to implementation, collaborating with multidisciplinary teams to align solutions with business objectives.
• Implement scalable cloud solutions with a focus on Azure and Databricks, applying MLOps practices to ensure model efficiency and governance.
• Support Advanced Analytics initiatives for major clients like USIMINAS and PETROBRAS, translating complex business requirements into actionable insights and AI solutions.

São Paulo, Brazil (Remote)

• Built scalable, AI-focused analytical pipelines using LLMs (GPT), significantly improving real-time insights and predictive analysis.
• Deployed and managed cloud-native ML/business pipelines using Docker, Kubernetes, and AWS/Azure, making 100% of business data available in the cloud.
• Improved data integrity by correcting over 40,000 customer records, automating billing and marketing processes.

São Paulo, Brazil (Remote)

• Architected and optimized over 50 ETL & ML solutions, integrating APIs, SQL/NoSQL databases, and Data Lakes.
• Automated ETL pipelines, reducing manual workload by 80%, and designed ML-based data enrichment solutions.
• Built scalable data pipelines for real-time, and batch analytics using distributed systems (Spark, Kafka), processing 100% of business data in cloud environments (Azure).

Mato Grosso do Sul, Brazil (Hybrid)

• Automated data extraction processes, reducing manual reporting by 75%.
• Created interactive dashboards, enabling real-time analysis.

Brasília, Brazil (On-site)

• Developed a national database of energy consumers, enhancing regulatory oversight.
• Ensured compliance with data governance and security protocols.
• Received a letter of recommendation for employment issued by the Federal Government.