Gustavo Ribeiro Dos Santos

Engineered scalable and highly available cloud solutions with AI as a core component, developing complex machine learning models for banking, healthcare, and technology sectors.

Implemented advanced architectures, including Retrieval-Augmented Generation (RAG) and Reinforcement Learning, to deliver precise, high-value results.

Designed and deployed cutting-edge AI applications, agents, and multi-agent systems using Google tools (AgentSpace, Vertex AI, Gemini, Dialog Flow) and open-source frameworks (Crew AI, LangChain).

Transformed data into intelligent, automated actions, enhancing operational efficiency and strategic decision-making.

Identified and implemented innovative solutions to minimize costs and ensure regulatory adherence across Azure, GCP, and AWS multi-cloud platforms.

Participated in a crucial Federal Government project, managing sensitive data from the Official Gazette of the Union.

Utilized data analysis and AI to extract information, identify patterns, and optimize acquisition processes, enhancing transparency.

Combined strategic vision with technical execution to enable sustainable financial and operational objectives for organizations.

Orchestrated data workflows using Airflow, optimizing complex SQL queries in BigQuery and automating data processes with Alteryx, improving data performance.

Pioneered a data-driven culture within the LATAM data team, fostering collaboration with business units for Data Lake validation and testing.

Implemented cybersecurity measures for Data Lakes/Lakehouses, identifying and mitigating vulnerabilities to protect critical information.

Led and instructed data training sessions (analytics, science, engineering) and cloud computing (Google Cloud) for interns and new hires.

Defined and executed the initial phase of an automated testing system using Generative AI (Vertex AI and Gemini), including Google Cloud resource monitoring.

Contributed actively to the development of the first Data Lake for Ford Motor Company across Latin America.

Developed robust web applications leveraging JavaScript, Angular, and Liferay DXP, ensuring high quality and delivery through unit and integration testing.

Integrated systems and APIs using InterSystems (IRIS, Caché, Ensemble, COS, Zen, CSP), REST APIs with Python, Java 8+, and Spring Framework.

Managed and optimized databases including PostgreSQL, SQL Server, and Oracle, contributing to system reliability and performance.

Implemented CI/CD practices to streamline development workflows and improve deployment efficiency.

Developed and enhanced applications for legal and healthcare systems using SQL, PL/SQL, Python, JavaScript, and InterSystems technologies.

Designed and implemented ETL pipelines, performing data analysis and integration with IRIS Data Platform and MDX to support critical operations.

Maintained and optimized database management systems (PostgreSQL, SQL Server, Redis, Oracle, MongoDB), ensuring data integrity and system availability.

Conducted code reviews and provided technical support, contributing to the stability and performance of public sector applications.

Developed and maintained databases using MySQL and IBM DB2, supporting critical data storage and retrieval needs.

Performed data analysis and statistical reporting using SAS (Enterprise Guide and Data Explorer Management) to inform decision-making.

Created interactive dashboards with PowerBI and Spotfire, providing key insights into operational performance.

Implemented Python and Go scripts to automate tasks, significantly improving efficiency and reducing manual effort.

Assisted in developing web applications for the legal intranet using Java and Spring Framework, enhancing internal communication and data access.