Gustavo Ribeiro dos Santos

Identified and implemented innovative solutions that minimized cloud costs and ensured regulatory adherence across Azure, GCP, and AWS environments, significantly improving financial efficiency.

Managed sensitive data for a crucial Federal Government project, utilizing data analysis and AI to extract information, identify patterns, and optimize acquisition processes, enhancing transparency.

Combined strategic vision with technical execution to achieve sustainable financial and operational objectives for organizations, reducing expenses and improving resource utilization.

Developed complex machine learning models for banking, healthcare, and technology sectors, leveraging Retrieval-Augmented Generation (RAG) and Reinforcement Learning to deliver accurate, high-value results.

Engineered and implemented cutting-edge AI applications, including agents and multi-agent systems, utilizing Google tools (AgentSpace, Vertex AI, Gemini, Dialog Flow) and open-source frameworks (Crew AI, LangChain).

Transformed raw data into intelligent, automated actions by integrating advanced AI functionalities into cloud solutions, enhancing operational efficiency and decision-making.

Developed and optimized ETL/ELT pipelines for batch and streaming data, processing large-scale data on Google Cloud and Microsoft Azure, ensuring efficient data extraction, treatment, and cleaning.

Designed and developed scalable Data Lake architectures and orchestrated data workflows with Apache Airflow, enhancing data availability and reliability.

Optimized complex SQL query performance in BigQuery and automated data processes with Alteryx, improving data retrieval efficiency by 15%.

Pioneered a Data-Driven culture within the LATAM data team, leading training programs for interns and new employees in data analysis, science, engineering, and Google Cloud computing.

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

Developed web applications using JavaScript, Angular, and Liferay DXP, enhancing user experience and system functionality.

Integrated and managed APIs with InterSystems (IRIS, Caché, Ensemble, COS, Zen, CSP), REST APIs with Python, Java 8+, and Spring Framework, improving system interoperability.

Managed and optimized databases including PostgreSQL, SQL Server, and Oracle, ensuring data integrity and high performance.

Implemented unit and integration tests and CI/CD pipelines, significantly improving software quality and delivery efficiency.

Provided support, conducted code reviews, and developed applications for critical legal and healthcare systems using SQL, PL/SQL, Python, JavaScript, and InterSystems.

Developed ETL pipelines and performed data analysis and integration with IRIS Data Platform and MDX multidimensional language, improving data flow and accessibility.

Maintained DBMS systems including PostgreSQL, SQL Server, Redis, Oracle, and MongoDB, ensuring database stability and performance.

Developed and managed databases using MySQL and IBM DB2, supporting critical banking operations.

Performed data analysis and statistics using SAS (Enterprise Guide and Data Explorer Management), providing insights for decision-making.

Created dashboards with PowerBI and Spotfire, visualizing key performance indicators and improving data accessibility for management.

Implemented Python and Go scripts for task execution and automation, significantly streamlining operational processes and reducing manual effort.

Assisted in developing applications for the legal intranet using Java and Spring Framework, and enhanced web applications with IONIC, React, HTML, CSS, JavaScript, and jQuery.