Azure Cosmos DB for MongoDB

A versatile and committed professional engineer with experience in developing innovative software solutions, actively participating throughout the entire software lifecycle. Projects include high-precision software development within sectors such as banking and travel, adhering to best practices established by certified entities and collaborating with high-caliber colleagues. Consistently engaged in continuous learning and professional development.

A highly motivated and dedicated developer, with an exceptional aptitude for rapid learning and efficient problem-solving, demonstrates a strong passion for technology and collaborative teamwork, consistently making substantial contributions to development projects.

A Fullstack Developer with four years of experience specializing in PHP and Vue.js, currently seeking new professional challenges to enhance technical skills, with a strong interest in development using React.

Proven expertise in system development and maintenance within Oracle PL/SQL environments, along with comprehensive knowledge of web technologies such as PHP, Laravel, YII Framework 1.1 and 2.0, Redis, ElasticSearch, Memcached, RabbitMQ, Docker, HTML5, CSS3, JavaScript, jQuery, Bootstrap, MySQL, and WordPress. Proficiencies include mobile development for Android using Java/Kotlin, complemented by substantial experience with mainframe systems, specifically Cobol, CICS, and DB2.

Tomás is a statistician with expertise in computational statistics, machine learning, and evidence-based public policy. He has contributed significantly to major political campaigns, public opinion research, and interdisciplinary R&D projects.

Technology professional with over seven years of industry experience, demonstrating significant expertise in Software Quality Assurance. Proficiency encompasses manual and automated testing, API testing, and a comprehensive understanding of software development workflows. Skilled in diverse testing types and techniques including regression testing, integration testing, and boundary value analysis, with advanced abilities in writing Behavior-Driven Development (BDD) test cases and executing automation using tools such as Cypress, Selenium, and Appium. Competence extends to setting up Continuous Integration/Continuous Deployment (CI/CD) pipelines. Experienced in task management using Jira, adept in Agile methodologies such as Scrum, and proficient in client engagement to understand project requirements and propose improvements.

Marcio Alves is a professional with extensive expertise in various programming languages and technologies. Proficient in Delphi and Firebird, Alves demonstrates substantial experience with application frameworks such as ACBR and database management systems like Oracle. Additionally, skills include the utilization of RDPrint and FastReport for report generation and printing solutions.

In the Java ecosystem, Alves is well-versed in JSF, Primefaces, JPA, Hibernate, and the Spring framework, showcasing a robust understanding of backend and frontend development, ORM, and dependency injection. Familiarity with build automation tools like Maven and front-end frameworks such as Angular further highlight Alves' comprehensive capabilities in modern software development practices.

An accomplished Machine Learning Engineer with over four years of experience in technology and three years in research, holding a Master's degree in Data Science and AI supported by the prestigious Eiffel Excellence Scholarship. Demonstrates international adaptability with professional experiences in Brazil, France, and Japan, collaborating with diverse teams across more than ten countries. Proven expertise in enhancing deep learning models, implementing natural language processing solutions, and developing robust data pipelines, with a strong proficiency in utilizing tools such as PyTorch, Azure, and Docker. Actively seeking opportunities as a Machine Learning Engineer, Data Scientist, or Data Engineer, with an openness to industrial PhDs.