Front-end developer with nearly two years of experience, specializing in React and React Native for various project implementations.

A software engineer with four years of experience in developing large-scale websites, applications, and systems, specializing in ReactJS, TypeScript, vanilla JavaScript, Vite, Vitest, React Testing Library, Jest, and Cypress. Additionally, professional expertise encompasses back-end development using Python and Django, along with proficiency in managing both relational databases such as MySQL and PostgreSQL and non-relational databases like MongoDB.

A Web Developer with extensive expertise in JavaScript, TypeScript, and Go utilized for the creation of diverse web applications, REST API integrations, and mobile applications. Demonstrates a strong commitment to best development practices, including Test-Driven Development (TDD), and focuses on building scalable solutions.

Front-end Developer since 2021, specializing in user experience optimization and metrics-driven strategies to maintain high retention rates, ensuring developed products meet user needs and foster loyalty.

Software engineer with nine years of professional experience, presently holding a role as a Tech Lead for dual development teams. Instrumental in migrating legacy software systems to contemporary microservices-oriented platforms, with significant contributions to the architectural development of a marketplace's product and advertisement sections. Focused on large-scale solution architectures and the development and scalability of high-performance teams, and poised for leadership roles such as Tech Lead or Tech Manager. Passionately seeks new challenges and solutions that effectively serve end customers.

Computer Science student in the eighth semester with a focus on data and technology currently functions as a Junior Developer, creating interactive dashboards with SQL, NoSQL, Python, and Metabase to facilitate client analysis of sales performance, inventory, pricing, and competition. Engaged in the data team, employing Big Data methods to manage extraction, transformation, and loading of data from various sources using tools such as Apache Airflow, Snowflake, MongoDB, and AWS. Also provides level 2 technical support with AWS CloudWatch, Postman, and OpenSearch, ensuring effective monitoring, testing, and troubleshooting of APIs and systems.

Previously, served as a research assistant on the Atlas project, developing a website to present geographical, socioeconomic, and environmental data of Paraíba using Python and NodeJS. This role enhanced programming skills, design and data analysis capabilities, and introduced agile methodologies like Kanban and Scrum, as well as tools such as Jira and Trello.

Maintains a keen interest in learning new languages and technologies, with particular enthusiasm for Artificial Intelligence, Machine Learning, and Cloud Computing, aiming to become a qualified and innovative professional in the data field capable of generating significant value and impact for organizations and society.

Specializing in mobile development with a foundation from IFSP, this candidate possesses a robust background in IT, encompassing support services, equipment configuration, development, and testing. Demonstrating a quick learning capacity and a profound curiosity for emerging technologies, this professional is committed to enhancing efficiency and optimizing processes. Although currently based in the interior of São Paulo, the individual hails from Curitiba and has pursued a lifelong passion for working in information technology. At 32 years old, this professional brings a wealth of experience and a dedicated approach to the field.

A seasoned full-stack developer with extensive experience in a wide array of technologies, including cloud infrastructure, continuous integration and continuous deployment (CI/CD) systems, and comprehensive software architecture. This background encompasses the entire development lifecycle, from initial planning through to final deployment. Possesses a demonstrated ability to leverage technical expertise to enhance development processes and integrate advanced DevOps methodologies.

The Boehm Unnamed Coding System is a method for categorizing and analyzing software defects based on their nature and impact. It helps in identifying the root causes of defects, improving software quality, and guiding corrective actions by classifying errors into various types, such as algorithmic, computational, or data-handling issues.

A Boehm Unnamed Coding System expert must have strong skills in software defect analysis, proficiency in categorizing and diagnosing software errors, familiarity with software development life cycles, and experience with quality assurance methodologies. They should also possess a solid understanding of various programming languages and debugging techniques.

How to hire a Boehm Unnamed Coding System expert

The Boehm Unnamed Coding System was developed in the 1970s by Barry Boehm to systematically categorize software defects. It aimed to enhance the understanding of software errors and improve software development processes by identifying and addressing common types of defects.

About Boehm Unnamed Coding System

Strengths of the Boehm Unnamed Coding System include its structured approach to defect categorization and its focus on improving software quality. Weaknesses involve its potential complexity and the need for expert knowledge to apply it effectively. Competitors include other defect classification systems like Orthogonal Defect Classification (ODC) and IEEE Standard Classification for Software Anomalies.

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About Boehm Unnamed Coding System

How to hire a Boehm Unnamed Coding System expert

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