Design and coordination of innovative digital solutions for the Oil & Gas sector, with a strong focus on operational efficiency, system integration, and technical project oversight.
Led the evolution of software products in the Intelligent Transport Systems domain, combining product ownership, technical coordination, and Agile team leadership.
Managed business-critical platforms for monitoring, diagnostics, and infrastructure control, working closely with stakeholders and engineering teams.
Supported decision-making through KPI definition, analytics, and continuous process improvement.
Designed software architectures for solutions dedicated to monitoring and managing critical infrastructure in the airport domain.
Led technical activities for international projects, contributing to frontend development, microservices adoption, and Agile delivery practices.
Worked on enterprise projects in transportation and industrial domains, contributing to software architecture, backend services, web applications, and mobile solutions.
Supported the delivery of distributed systems, security components, and integration platforms for large organizations and public infrastructure contexts.
Developed software solutions for mobility and automotive projects, working on web platforms, business intelligence tools, batch processing, and Android applications.
Gained solid experience in full-stack development, system analysis, and delivery of solutions for complex operational environments.
Solid foundation in computer science, algorithms, data structures, operating systems, networking, and software engineering principles.
Strong knowledge of Java and Android SDK, with good working knowledge of C# and Python.
AngularJS, Angular v2+, HTML5, CSS3, jQuery, JSF, RichFaces
Spring Security, Spring MVC, Spring Batch, Spring Cloud, Spring Boot, jBPM, BPMN 2
MyBatis 3, JdbcTemplate, JPA · MongoDB, Elasticsearch, Oracle, PostgreSQL, MySQL, DB2, SQLite
Apache Tomcat, JBoss, WildFly, Oracle BEA WebLogic 11/12c
Maven, Jenkins, Hudson, SonarQube, Docker, Kubernetes
SOA, Microservices, Containerized platforms, Big Data ecosystems
AWS (EC2, S3, Lambda), Azure (App Service, DevOps), GCP fundamentals, Cloud-native architectures
LLMs, Prompt Engineering, OpenAI APIs, AI-assisted development, Python ML libraries (scikit-learn, TensorFlow basics)
Sprint planning, daily stand-ups, retrospectives, backlog refinement, iterative delivery
Test-Driven Development, JUnit, Mockito, code coverage, red-green-refactor cycle