Java Developer and Architect with a decade of experience, specializing in problem-solving and crafting intelligent solutions. Possesses deep expertise in development and architecture patterns, including SOLID principles, Clean Code methodologies, and Clean Architecture. Proficient in implementing Test-Driven Development (TDD) from the initial stages to ensure safe, high-quality modifications and enhancements. Demonstrates extensive experience in continuous delivery utilizing Jenkins and Bamboo, coupled with a robust approach to code quality assurance through Sonar.

System Developer/Analyst specializing in Java programming, with a strong capability to adapt to various programming languages. Possesses comprehensive experience in Java projects, particularly in developing Rest APIs with Spring Boot. Demonstrated expertise in creating AWS Lambda functions using Python and front-end development with React, JavaScript, and JQuery. Proficient in utilizing AWS technologies such as S3, EventBridge, Step Functions, SQS, and Lambda. Holds a Bachelor's degree in Computer Science. Noted for exceptional teamwork abilities and a swift learning aptitude.

Full-stack and front-end developer with over four years of experience in web application development. Expertise includes Javascript, MySQL, SQLite, MongoDB, Node.js, React.JS, Vue.js, PHP, C#, and Python.

IT professional with over 15 years of experience, primarily concentrated in the logistics and distribution sectors. Responsibilities include the management of Warehouse Management System (WMS) products for internal movement systems within the distribution center, with a significant focus on the integration of automation solutions. Proficient in identifying and analyzing issues, and proposing effective solutions for business areas involving both clients and operational processes.

A Computer Science student at UNIFOR (2020-2024), engaged in the continuously evolving field of technology and innovation, with a commitment to both academic and professional advancement. The role as a Software Developer since 2020 demonstrates a dedication to self-learning and a methodical approach to addressing challenges. The expertise spans across a range of technologies including Vue.js, GoLang, CSS, JavaScript, HTML, Python, along with experience in Ruby, TypeScript, and React. Proficient in database management with MongoDB, MySQL, and PostgreSQL, and well-versed in version control utilizing Git, GitHub, and GitFlow.

Possessing 20 years of experience in digital development with specialization in information systems and graphic design, the focus has been on delivering portals, interactive content, and cross-platform applications. With a robust proficiency in creating user-centric experiences, contributing significantly to design and product teams, a technical yet sensitive approach is employed to ensure optimal user satisfaction.

Over the past four years, considerable expertise has been developed in Flutter, showcasing proficiency in Dart, state management patterns, clean architecture, modular approaches, and comprehensive unit testing. A strong emphasis on concise, reusable code and thorough documentation enhances overall team productivity and project efficiency.

With three years of experience in software development, expertise spans consultancies from startups to large corporations. Initially engaged in projects using TypeScript, NodeJS, and React, establishing a foundation as a full-stack developer. This phase underscored the significance of creative solutions and team collaboration in tackling complex challenges and delivering impactful products.

More recently, developed Generative AI for an international client utilizing Python and .Net, broadening technical expertise and offering a global perspective on technology's transformative potential. Known for problem-solving abilities, approaches challenges analytically and collaboratively.

The drive for technology and software development stems from a continuous pursuit of knowledge and the satisfaction derived from implementing solutions that address real-world problems. Actively seeking opportunities that pose challenges and allow for substantial contributions to innovative projects and dynamic teams.

A dedicated problem-solver with a strong focus on backend development, possesses in-depth experience with API manipulation utilizing NodeJS, JavaScript, and TypeScript. Proficient in database management across SQL and NoSQL systems, ensuring both scalability and operational efficiency. Demonstrates extensive expertise in creating robust test frameworks using Jest and Mocha, and adeptly crafts optimized endpoints with Express. Familiarity with Docker containers enhances the efficient implementation and distribution of applications.

Programming Computable Functions (PCF) is a simple typed functional programming language used to study properties of computation and formalize the notion of computability. It extends the lambda calculus with basic types, recursion, and conditional expressions, allowing the definition and manipulation of computable functions within a formal framework.

A Programming Computable Functions expert must have strong knowledge of lambda calculus, formal semantics, and type theory. They should be proficient in mathematical logic and recursion theory. Familiarity with functional programming paradigms and experience with theoretical computer science concepts are also essential.

How to hire a Programming Computable Functions expert

Programming Computable Functions was developed in the 1970s as a theoretical framework to better understand the foundations of computation and programming languages. It extended the lambda calculus with additional constructs to facilitate the study of computability and formal semantics. The language provided a simplified yet powerful tool for researchers to explore fundamental concepts in computer science.

About Programming Computable Functions

Strengths of Programming Computable Functions include its simplicity, formal rigor, and strong theoretical foundation, making it ideal for studying fundamental aspects of computation. Weaknesses include limited practical applicability and expressiveness compared to modern programming languages. Competitors include other theoretical frameworks like Turing machines, lambda calculus without extensions, and more practical functional programming languages like 

Programming Computable Functions

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