Software Developer with over eight years of experience specializing in Java, REST APIs, and database design. Possesses a proven track record of leading teams to consistently deliver high-quality software solutions within established timelines.

Front-end Developer with more than three years of professional experience in web development, specializing in .NET Core/WebAPI C# for web systems and Angular for Single Page Applications (SPA). Proficient in constructing Google Chrome Extensions and Desktop Applications using Electron in combination with Angular. Demonstrates a strong interest in application maintainability, adherence to best development practices, and the principles of Test-Driven Development (TDD).

A Computer Science graduate specializing in Software Development, with extensive experience in employing the Flutter framework. Demonstrates a robust portfolio comprising completed and in-progress projects. Possesses a proven ability to quickly adapt to new programming languages and technologies. Exhibits dedication and swift learning capabilities, and remains open to opportunities involving travel or relocation.

System Analyst with a degree from Dom Bosco University and approximately four years of experience as a Web Developer, including over three years focused on Angular as well as some exposure to React. Experienced in serving clients within key segments of the Brazilian market, such as banking, telecommunications, and fintechs. Responsibilities have encompassed continuous improvement initiatives, maintaining legacy code, and developing new products tailored to customer needs. Daily tasks include team collaboration to determine optimal solutions, building reusable components, system design, occasional interface development, and writing unit tests using Jasmine and Karma. Proficient in technologies such as HTML, CSS, SCSS, JavaScript, TypeScript, and GIT, with experience in frameworks like Bootstrap, Angular Material, PrimeNG, and Ant Design, as well as in creating REST APIs using NodeJS with Express and MongoDB. Possesses a C1 level proficiency in English with robust oral and written communication skills.

An experienced educator and developer with a primary focus on web systems and Android application development, supplemented by a solid background in general development. Expertise extends to digital game development across platforms such as Android, iOS, Windows, Mac, Linux, and Xbox One. Demonstrates risk-taking abilities, a strong commitment to effort and sacrifice, and effective management of people and resources. Possesses excellent communication and public speaking skills, motivational capabilities, and strong organizational and planning abilities. Known for perseverance, consistency, and effective team collaboration and leadership. Additionally, holds the personal role of being a parent.

Front-End and Mobile Developer with approximately four years of experience, holding a Bachelor’s degree in Information Systems. Proficiencies include HTML, CSS, REST APIs, JavaScript, TypeScript, ReactJS, React Native, Jest, Testing Library, unit testing, Docker, Storybook, Styled Components, Material UI, and Tailwind CSS. Experience encompasses the development of websites and mobile applications, as well as the implementation of Design System components. Outside of technical expertise, personal interests include games, board games, and solving Rubik’s cubes.

Senior Back-End Developer with more than seven years of experience specializing in Ruby on Rails, possessing extensive knowledge in Rspec, Test-Driven Development (TDD), Docker, and Git. Interested in a remote position as a legal entity (PJ).

A Mobile Developer specializing in Android platforms with additional proficiency in Swift and substantial experience in creating Hybrid applications using Flutter.

Google AutoML Tables is a machine learning service that enables users to automatically build and deploy predictive models from structured data tables, streamlining the process of model creation without requiring extensive expertise in machine learning.

A Google AutoML Tables expert must have skills in data preprocessing, familiarity with Google Cloud Platform, proficiency in SQL for querying data, knowledge of machine learning concepts, and experience with model evaluation and deployment.

How to hire a Google AutoML Tables expert

Google AutoML Tables was introduced by Google Cloud in 2019 to simplify the process of creating machine learning models from structured data. It aimed to make advanced machine learning accessible to users without deep expertise in the field, leveraging Google's expertise in AI and automation.

About Google AutoML Tables

Strengths of Google AutoML Tables include ease of use, automation of complex processes, and integration with 

 services. Weaknesses involve potential limitations in customization and dependency on Google's ecosystem. Competitors include Amazon SageMaker, 

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