Web Developer with a specialization in JavaScript, exhibiting proficiency in Angular and Vue.js frameworks for front-end development, alongside Nest.js and Express (Node.js) for back-end development. This role is characterized by a dedication to continuous technological advancement, adept communication skills, and an ability to collaborate efficiently in team environments. Demonstrates versatility in transitioning seamlessly between front-end and back-end tasks or managing both concurrently.

Graduated with a degree in Information Systems from the State University of Bahia, specializing in software development since commencing an initial internship in 2012. Expertise encompasses multiple programming and scripting languages, including PHP, Bootstrap, HTML, CSS, JavaScript, and jQuery, complemented by version control proficiency in GitHub. Additionally, possesses extensive knowledge of databases such as PostgreSQL, MySQL, and SQL Server, and an understanding of cloud services and virtual machine configuration with AWS (EC2, RDS) and Vagrant. Presently, advancing skills in .NET Core and Vue.JS.

A graduate in Systems Analysis and Development holding a Master's degree in Sociobiodiversity and Sustainable Technologies, with specializations in Data Science and Big Data Analytics. Currently undertaking further specialization in DevOps Engineering and an undergraduate degree in Statistics. Possesses extensive experience in software development, electronics projects, embedded systems, mobile devices, and the Internet of Things. Engages in research within the fields of computational statistics, data science, big data, artificial intelligence, and DevOps.

Full-stack developer with four years of experience specializing in a broad spectrum of technologies such as NodeJS, React, JavaScript, CSS, Python, Docker, Kubernetes, EC2, Lambda, API Gateway, PostgreSQL, MySQL, MariaDB, Zendesk, and Git. Exhibits proficiency in effectively communicating with both clients and team members, fostering a collaborative environment. Maintains a dedicated focus on continuous learning and the pursuit of optimal user solutions, showcasing adaptability across diverse contexts.

Site Reliability Engineer/DevOps Engineer with specialized expertise in Linux, Docker, Jenkins, Kubernetes, Zabbix, Grafana, Prometheus, Terraform, AWS, GCP, Dynatrace, Elasticsearch, and BitBucket. Proficient in frontend technologies including HTML, CSS, Javascript, React.js, Vue.js, and Typescript, along with backend development using NodeJs, NestJs, GraphQL, Sequelize, MySQL, Postgres, and Git. Demonstrates comprehensive knowledge in Amazon Web Services (AWS), Tsuru, and unit testing, as well as developing APIs with Jest. Committed to effective team collaboration, emphasizing the importance of focusing on the entire development process to ensure the delivery of high-quality products. Dedicated to continuous learning to remain current with emerging technologies.

Software Developer with a focus on developing new features and resolving issues to deliver customer value. Expertise encompasses Back-End technologies, including Java, Spring Boot, PostgreSQL, and API REST, as well as Front-End technologies such as Next.js, TypeScript, Redux, and styled-components. Proficient in version control through Git and Azure DevOps. Open to professional connections and discussions regarding opportunities and collaborations.

Management of technology areas is characterized by a rigorous focus on achieving results and driving process improvement and innovation, ensuring alignment with financial guidelines. This role cultivates a conducive environment for goal attainment, inherently adding value for all stakeholders.

Possessing a Bachelor in Computer Science from Universidade Luterana do Brasil and a specialization in Project Management from Universidade La Salle, expertise spans across Object-Oriented Programming with fluency in Java, PHP, JavaScript, NodeJS/TypeScript, and React Native. Interest lies in application scalability, infrastructure, development best practices, TDD, and BDD. Currently positioned as a Software Architect, responsibilities encompass the complete lifecycle from planning and analysis to system development.

In the realm of Software Architecture modeling, Domain Driven Design principles are employed to focus on domain exploration models and to establish a ubiquitous language within bounded contexts. This practice aids in modeling business entities with precision using appropriate domain language, significantly enhancing application sustainment, maintenance, and scalability.

Implementation of Clean Architecture principles ensures the domain remains independent of external agents, facilitating code organization that encapsulates business logic while maintaining clear separation of presentation layers and delivery mechanisms. Utilization of the Composition Root methodology centralizes dependency instantiation via Dependency Injection and Dependency Inversion principles.

A strong commitment to clean code prioritizes readability and comprehensibility. By adhering to SOLID principles, applications are designed to be resilient—closed for modification but open for expansion. This involves creating single responsibility classes, simplifying maintenance, and understanding through segregated interfaces that support proper polymorphism and inheritance processes. Proficiency in resolving complex problems is demonstrated through the application of Design Patterns such as Factory, Builder, Composite, Singleton, and Observer, ensuring adherence to best practices and leveraging extensive reference literature.

Linda is a coordination language that provides a set of operations for process communication and synchronization, primarily through the use of a shared tuple space. It allows processes to read, write, and take tuples from this space, enabling distributed systems to coordinate tasks efficiently.

A Linda expert must have strong knowledge of parallel and distributed computing concepts, proficiency in using tuple spaces for process coordination, and experience with programming languages that support Linda's operations. They should also be skilled in debugging and optimizing parallel applications to handle synchronization and communication efficiently.

How to hire a Linda expert

Linda was created in the mid-1980s by David Gelernter and Nicholas Carriero. It was developed to address the need for a simple and flexible coordination model for parallel computing. The language introduced the concept of a shared tuple space, which allowed processes to communicate and synchronize without direct message passing.

About Linda

Linda's strengths included its simplicity, ease of use for coordinating parallel processes, and the decoupling of process communication. Its weaknesses involved potential performance bottlenecks due to the centralized tuple space and limited scalability. Competitors included other parallel programming models like MPI (Message Passing Interface) and PVM (Parallel Virtual Machine).

Linda

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Programming Languages

About Linda

How to hire a Linda expert

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