I lead a diverse team of over 36 professionals, including 10 direct reports, encompassing enterprise, solution, and system architects, as well as software engineers. My focus is on shaping enterprise technology strategies, exploring and implementing cutting-edge tools and methods, optimizing tech-driven business processes, and enhancing management methodologies to achieve and surpass our OKRs. Additionally, I guide advanced R&D initiatives aligned with our IT transactional environment and… Show more I lead a diverse team of over 36 professionals, including 10 direct reports, encompassing enterprise, solution, and system architects, as well as software engineers. My focus is on shaping enterprise technology strategies, exploring and implementing cutting-edge tools and methods, optimizing tech-driven business processes, and enhancing management methodologies to achieve and surpass our OKRs. Additionally, I guide advanced R&D initiatives aligned with our IT transactional environment and corporate operations.Key Achievements:Directed the adoption of cloud solutions, DevOps (automation) methods, and AI technologies to deliver strategic projects, achieving over R$30M in monthly savings and overseeing an annual budget of R$15M to drive ROI and technological advancements.Spearheaded the implementation of GenAI-driven solutions to revolutionize information sharing and access, enhancing operational efficiency, transparency, and decision-making processes across the organization.Restructured team hierarchy and communication to increase productivity 10x, aligning team efforts with agile practices and business goals.Established a technical debt discipline to balance time-to-value with technical excellence, and created detailed executive reports to communicate associated risks to C-level stakeholders.Defined and executed a successful move-to-cloud strategy for an on-premise environment, enhancing scalability, improving system performance, and reducing costs by 10x. Show less

Key Achievements and Responsibilities:Established the enterprise software architecture and engineering area, promoting the adoption of real-time technologies, cloud, and automation. Created the research and development process to support business expansion and technological transformation.Set and communicated team priorities that supported the broader organization's goals, aligning strategy and processes across teams. Reviewed and provided feedback… Show more Key Achievements and Responsibilities:Established the enterprise software architecture and engineering area, promoting the adoption of real-time technologies, cloud, and automation. Created the research and development process to support business expansion and technological transformation.Set and communicated team priorities that supported the broader organization's goals, aligning strategy and processes across teams. Reviewed and provided feedback on system design and code developed by team members to ensure adherence to best practices and technical standards. Show less

Key Achievements and Responsibilities:Launched the startup, scaling from zero to R$1M in revenue through AI and HPC consultancy services. Pivoted company focus to develop a risk management AI-based SaaS, targeting scalable business models. Directly involved in hands-on development, implementing high-quality, distributed programming and AI-based code for our products.

Key Achievements:Led the expansion of the data engineering team and restructured management approaches, increasing monthly revenue from R$200k to R$1.25 million in three months.Implemented data solutions in the retail industry at Pernambucanas, utilizing real-time technologies such as Kafka, Hadoop, NiFi, Flink, and Kubernetes.

I played a crucial role in advancing the field of Artificial Intelligence within the context of healthcare. My primary responsibility centered on developing sophisticated models using Machine Learning and Statistics to predict cancer prognostics, specifically focusing on conditions such as oral cancer infection and multiple myeloma. Key Achievements:Developed an advanced predictive model for post-surgical infections in head and neck cancer patients, significantly enhancing… Show more I played a crucial role in advancing the field of Artificial Intelligence within the context of healthcare. My primary responsibility centered on developing sophisticated models using Machine Learning and Statistics to predict cancer prognostics, specifically focusing on conditions such as oral cancer infection and multiple myeloma. Key Achievements:Developed an advanced predictive model for post-surgical infections in head and neck cancer patients, significantly enhancing patient care by enabling early intervention and tailored treatment strategies.Innovated a machine learning method to accurately predict drug responses in cancer patients, culminating in an optimization algorithm that significantly maximizes survival outcomes by personalizing treatment protocols.This innovative work, conducted in collaboration with a prominent research institute, formed the core of my doctoral research. I concentrated on pioneering information representation methodologies to enhance the accuracy and generalization capabilities of supervised machine learning models. Show less

Key Achievements:Developed a SaaS and AI-based product for credit risk inference, focusing on unbanked individuals and SMEs.Conducted technical sales that resulted in contracts with companies such as Sky, Sicoob Credicitrus, and Banco Digio.

Structured the software engineering team for the development and launch of Teleport, a system for rendering 3D models of real and digital properties.Led a research and development initiative to create a machine learning model that converts flat images into 3D models.

As a Data Scientist specializing in fraud detection, I played a pivotal role developing new methods for safeguarding financial transactions through the implementation of advanced Deep Learning models.Key Responsibilities:Feature Engineering: I led the establishment of a new project area focused on exploring transaction history for novel features. Elevated base independent variables to a noteworthy Maximal Information Coefficient (MIC) of 15%. Engineered groundbreaking features… Show more As a Data Scientist specializing in fraud detection, I played a pivotal role developing new methods for safeguarding financial transactions through the implementation of advanced Deep Learning models.Key Responsibilities:Feature Engineering: I led the establishment of a new project area focused on exploring transaction history for novel features. Elevated base independent variables to a noteworthy Maximal Information Coefficient (MIC) of 15%. Engineered groundbreaking features achieving approximately 50% MIC when assessed against fraud variables.Model Optimization: implemented sophisticated regularizations and introduced the robust Rectified Linear Unit (ReLU) activation function. Successfully mitigated overfitting, vanishing gradients, and dead neurons, significantly enhancing model performance.Machine Learning Platform: orchestrated the migration to the TensorFlow framework for its unparalleled flexibility. Utilized TensorBoard for enhanced learning visualization, streamlined model comparisons, and ensured seamless portability to production.Production Portability: formulated and executed technical strategies for the smooth transition of laboratory results to a high-stakes production environment. Navigated the processing of tens of millions of transactions, ensuring the reliability and efficiency of the implemented solutions. Show less

I championed a transformative agenda that redefined educational standards and outcomes within the institution. With a focus on bridging the gap between academic theories and real-world applications, I revamped the curriculum and spearheaded innovative programs that not only doubled graduation rates in two years but also significantly boosted the program's relevance to the tech industry's needs.Key Achievements:Revitalized the System Analysis and Development program, doubling… Show more I championed a transformative agenda that redefined educational standards and outcomes within the institution. With a focus on bridging the gap between academic theories and real-world applications, I revamped the curriculum and spearheaded innovative programs that not only doubled graduation rates in two years but also significantly boosted the program's relevance to the tech industry's needs.Key Achievements:Revitalized the System Analysis and Development program, doubling graduation rates within two years through strategic curriculum enhancements and innovative teaching methodologies.Spearheaded the creation and launch of a highly acclaimed high school computing course, achieving a ranking as the second-best in São Paulo state, recognized for its comprehensive approach. Show less

Responsible for teaching Probability and Statistics (R-based approach), Artificial Intelligence, and Programming, and supervising undergraduate researches related to Machine Learning and Database Systems.

I played a pivotal role as a dedicated member of the University Resource Planning System development team. Operating within a dynamic and distributed environment, I specialized in Java programming, contributing significantly to the advancement of our technological infrastructure.

Responsible for geographic databases development, deployment, and maintenance, based on Open-source solutions.

Responsible for designing and implementing Modbus-based communication protocols for exchanging messages from different embedded systems for industrial automation using Java ME technology.

Responsible for teaching Programming and Database Systems courses within a high school program, and also served as the administrator of the school's computer network.