As an educator, I have had the privilege of teaching a diverse range of disciplines, including Web Programming for Backend (WPBE), focusing on backend development techniques for web applications; Structures of Concrete: Columns and Dynamic Loads, exploring advanced topics in civil engineering; and Disruptive Architectures: IoT, Big Data, and AI (DABI), addressing emerging technologies and their innovative applications. My experience also includes teaching Open Innovation, emphasizing collaborative innovation strategies; Engineering and Profession, preparing students for professional growth in engineering fields; and Intensive Architecture with PostgreSQL and Data Visualization, combining database expertise with visual analytics. Additionally, I have taught Applied Mathematics for Data Science (AMDS), offering mathematical foundations for data modeling and analysis, and Data Structures: Strategy and Implementation (DSSI), focusing on optimizing and implementing data structures. My teaching expertise spans key areas such as Web Development, Civil Engineering, Data Science, Innovation and Entrepreneurship, and Emerging Technologies like IoT, Big Data, and Artificial Intelligence.

Professor de pós graduação nos módulos de Coleta e Armazenamento de Dados

At Inteli, I lecture and mentor students in various modules, focusing on applying theoretical knowledge to real-world scenarios. My teaching portfolio includes the following modules:Web Application DevelopmentDesign and development of a full-stack web application with a focus on data registration and retrieval for corporate applications.Key Topics:DatabasesMVC PatternHTML, CSS, JavaScriptNode.jsUnit TestingNetworking FundamentalsData Analysis Structure and GovernanceApplication of tools and mechanisms for structuring, analyzing, and governing data, enabling businesses to identify opportunities, optimize processes, ensure regulatory compliance, and gain actionable insights for data-driven decision-making.Key Topics:Design PatternsData Architecture and GovernanceTCP/IP ArchitectureNetwork Management and SecurityData Security and GovernanceMicroservicesETL, Data Lake, and Data WarehousingSearch AlgorithmsLarge-scale ProcessingMLOps and Production PredictionArchitectural Patterns (MVC, MVP, MVVM)Decision Support SystemsEnterprise Management and Governance SystemsImplementation of an enterprise resource planning (ERP) system in a real business case study.Key Topics:ERP (Enterprise Resource Planning)Process Mapping and MiningData GovernanceBig Data Integration, Management, and AnalysisDevelopment of data pipelines for analysis and decision-making in high-volume data environments.Key Topics:Data ArchitectureETLData Warehouse and Data LakeCloud Data ManagementProject 9: Managerial Data Reports and DashboardsCreation of data dashboards for managerial decision-making.Key Topics:UMLObject-Oriented ProgrammingMVC ArchitectureDatabase Integration with APIsCloud DeploymentIn these modules, I integrate foundational and advanced computing concepts with practical applications, fostering students' ability to solve complex challenges in data engineering, governance, and business systems.

As a guest lecturer at ESPM's postgraduate program, I teach courses focused on statistical analysis, data visualization, and predictions based on simulations and correlations. My contributions include the following topics:Fundamentals of StatisticsIntroduction to basic statistical concepts and their application in corporate scenarios.Normal Distribution and ProbabilitiesAnalysis of probabilities and modeling using the normal distribution.Graphical Data AnalysisTools and techniques for data visualization and pattern identification.SimulationApplication of simulations for scenario modeling and forecasting.Correlation and Demand ForecastingStatistical methods for analyzing correlations and predicting demand.ProjectDevelopment of practical projects applying the concepts covered throughout the course.These classes blend theory and practice, equipping students with a solid foundation for data-driven decision-making.

Position: back-end and data pipeline developer Main atributions: - Architecture and Development solutions for BackEnd and data pipelines - REST API Integration with partners (twilio, whatsapp, sms); Solutions: - BackEnd and microservices for internal use in company Technology: - Java, Logstash, bundle gems in ruby language for testing, PostgreSQL, Linux/Ubuntu, Git/Github, Jira, Zenhub, AWS bucket-SQS-S3, ElasticSearch, Metabase, Docker, Docker-compose, Agile Methodologies, Metabase, Grafana, GCP cloud solutions for data like BigQuery, Cloud Storage, Functions, Cloud Schedulers...

Position: back-end developer Main atributions: - Development of the software solution in BackEnd; - REST API Integration with partners (twilio, whatsapp, sms); Solutions: - BackEnd and microservices for internal use in company Technology: - Java, Logstash, bundle gems in ruby language for testing, PostgreSQL, Linux/Ubuntu, Git/Github, Jira, Zenhub, AWS bucket-SQS-S3, ElasticSearch, Metabase, Docker, Docker-compose, Agile Methodologies.

Position: Project Manager and Developer Main atributions: Ruby on Rails backend Developer Kanban and developers management Reunion master and reponsible of the deliveries

Position: back-end developer Main atributions: - Development of the software solution in BackEnd; - REST API Integration with partners (TOO Seguros, TemSaúde, Gympass, Argo Seguros, MAG insurer); Solutions: - BackEnd and microservices for the website https://www.seuguru.com/ Technology: - Ruby on Rails API, PostgreSQL, Linux/Ubuntu, Git/Github, Jira, Zenhub, AWS bucket-SQS-S3, ElasticSearch, Metabase, Docker, Docker-compose, Agile Methodologies.

Position: FullStack Main atributions: - Development of the software solution; Solutions: - Full-stack framework for https://www.opsicoapp.com/ Technology: - Ruby on Rails, PostgreSQL, Git/Github, Trello.

Positions: Coordinator / Professor Main atributions: - Management of 5 engineering courses with more than 1,500 students and 50 professors; - Course quality control; - Organize the course for the internal audit process following GrupoSer's standard norms; - Use of the PMBOK-PMI and agile methodologies in the management of the course and projects within the faculty and students; - Monitoring projects with CREA-PA; - Monitoring and evolution of engineering courses with significant changes in the evaluation and training process; - Teaching using agile methodology in the classroom (using the EduScrum framework eduscrum.org) - Subjects taught: Operational Research, Quantitative Methods, Biostatistics, Statistics, Logistics, Materials I and II.

Positions: Professor / Member of the CPA(Quality control and Data) / Member of Collegiate and Teaching Core (NDEs) Main atributions: - Collecting and processing data for CPA (Data Science with Excel VBA) - Structuring course - Monitoring of students with coordinator - Subjects taught: Biostatistics, Statistics, Materials Management, Logistics, Operational Research, Production Planning and Programming. - Teaching with the use of agile methodology in the classroom (using the EduScrum framework eduscrum.org) that lead to a book chapter publication.

Position: Production Engineer / Plant Manager Main atributions: - Management of production systems and manufacturing operations for precast concrete; - Planning, programming and control of the production plant; - Maintenance Management with the mechanical engineer; - Factory and industrial facilities design: industrial organization, layout/physical arrangement; - Discrete and continuous production processes: procedures, methods and sequences; - Method engineering; - Inventory management; - Modeling, simulation and optimization of manufacturing systems; - Demand analysis; - Quality planning and control; - Standardization, auditing and certification for quality; - Work design and organization; - Ergonomics; Technologies: - Proficient in Excel-VBA for demand analysis and projections; - PMBOK-PMI best practices in project management; - Quality tools; - Technical standards;