An Information Systems graduate from Universidade Santa Cecília, complemented by a Logistics degree from Etec Paula Souza, with over a decade of experience as an Administrative Assistant, skillfully managed team coordination, instruction, and organization. Currently specializes in Frontend development, demonstrating professional expertise in TypeScript, Next.js, and Chakra UI. Personal projects, accessible on GitHub, emphasize a strong command of Javascript, SASS, ReactJS, Next.js, Typescript, and Chakra UI.

A Software Developer with a Bachelor's degree in Information Systems, acquired in 2018, and over five years of experience in the field of software development. Proficient in Android Development and skilled in Java, with additional knowledge of Kotlin and Flutter. Possesses extensive experience in SQL Database management and is well-versed in Git version control technology. Recent professional experience includes working in the domain of warehouse management software, focusing on the design and implementation of efficient mobile solutions, system integration, and user experience enhancement. Demonstrated ability to collaborate effectively with multidisciplinary teams comprising designers, back-end developers, and project managers to achieve project objectives.


Delphi developer with extensive experience spanning over 22 years, proficient in Delphi versions ranging from Delphi 5 to Delphi Tokyo. Expertise includes Delphi development with Oracle, PostgreSQL, and SQL Server databases. Maintains a collaborative approach to teamwork and demonstrates a strong commitment to ongoing professional development. Consistently seeks out new challenges and is dedicated to expanding knowledge of languages and technologies to enhance skill sets.

Data Scientist specializing in Fake News Detection research through the application of Python and Machine Learning methodologies. Proficient in frameworks and technologies such as Django, Node.js, Angular, Java, Oracle Database, and MySQL. Currently serves on a Fraud Detection team, responsible for constructing machine learning models and conducting analysis to prevent banking fraud.

A seasoned professional with a dual academic foundation in Computer Science (since 1999) and Marketing Management (since 2005), supplemented by specialized training in people and project management, development methodologies, and industry best practices. Over a span of more than 20 years, extensive experience has been accumulated in both front-end and back-end development. Proficient in programming languages including PHP and JavaScript, and familiar with libraries like jQuery. Possesses advanced knowledge in handling various database systems, such as MySQL, PostgreSQL, and SQL Server, as well as expertise in using version control tools like Git. Well-versed in Agile methodologies, specifically in implementing Scrum and Kanban frameworks.

Frontend Engineer with over three years of experience in VueJS, HTML, CSS (SASS), JavaScript, and TypeScript. Specializes in developing web systems of varying complexity from the ground up. Adept at collaborating within multidisciplinary, agile teams to create seamless user experiences, often working closely with Designers to ensure the delivery of high-quality systems.

A front-end developer with robust expertise in React, HTML, CSS, TypeScript, AngularJS, VueJS, and JavaScript.

A Web Developer with over three years of experience, skilled in a range of technologies, specializes in creating customized solutions and is committed to ongoing professional development. Open to engaging in challenging and collaborative projects.

Lucid is a dataflow programming language designed for parallel and non-deterministic computations. It emphasizes the use of streams, allowing values to be computed as sequences over time, making it suitable for applications in scientific computing and real-time systems.

A Lucid expert must have strong skills in dataflow programming concepts, parallel computing, and non-deterministic computation. They should be proficient in stream processing and understand the declarative programming paradigm. Additionally, expertise in scientific computing and real-time system design is essential for effectively utilizing Lucid.

How to hire a Lucid expert

Lucid was created in the 1970s as a dataflow programming language aimed at simplifying the development of parallel and non-deterministic computations. It emerged from research efforts to provide a more intuitive way to handle sequences of values over time, making it particularly useful for scientific computing and real-time applications. The language was designed to facilitate declarative programming by focusing on the relationships between data rather than control flow.

About Lucid

Strengths of Lucid include its ability to handle parallel and non-deterministic computations effectively, as well as its intuitive handling of data streams over time. Weaknesses include limited adoption and less support compared to more mainstream languages. Competitors include other dataflow languages like Lustre and SIGNAL, as well as general-purpose languages that have strong parallel processing capabilities, such as Haskell and Scala.

Lucid

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About Lucid

How to hire a Lucid expert

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