Senior Full Stack Blockchain Developer with expertise in technology, focusing on the development sector. Proficient in the JavaScript stack, including React and Node.js, and skilled in TypeScript. Contributed to significant Web3 projects, including the development of a decentralized exchange and a digital crypto wallet supporting both Syscoin and Ethereum networks. Additionally, possesses extensive experience in various Web2 projects for prominent national firms. Dedicated to continual learning in the blockchain environment, leveraging Web3.js and ethers.js to develop applications predominantly on Syscoin, Ethereum, and Polygon networks. Actively seeking new opportunities in both Web2 and Web3 projects as a Full Stack Developer.

Embedded systems developer and electromedical equipment specialist with extensive experience in applying various IEC, ISO, and NR standards. Proficient in multiple programming languages, including C#, C, Assembly, Python, Java, and MATLAB, with notable expertise in data analysis for business intelligence applications. Authored six books covering topics such as Electric Drives, Microprocessors, Artificial Intelligence, Digital Electronics, Basic Electronics, and Industrial Electronics. Additionally, has contributed to both international and national scholarly articles. Currently serves as an instructor for undergraduate courses across disciplines including Electrical Engineering, Electronics Engineering, Mechanical Engineering, Production Engineering, and Civil Engineering.

A dedicated technology enthusiast with a deep-rooted interest in commercial automation systems, possessing extensive experience in the field from an early age. Presently engaged in the study and development of web and mobile applications utilizing Node.js, React, and React Native. Ongoing work and projects can be followed on GitHub.

Specializes in agile development, with a strong focus on learning and integrating new technologies and design principles. Proficiencies include backend technologies such as C# .NET, Web GIS utilizing ESRI libraries, SQLServer, and C#. Front-end capabilities encompass frameworks and languages like Angular, React, JavaScript, HTML, and CSS. Proven expertise is demonstrated in effective deadline management and strategic planning acquired through various engineering roles. Additionally, possesses a robust background in design, influenced by both personal and professional experiences in the advertising sector.

Bachelor in Computer Science from UFCG with over six years of experience in developing systems for the Brazilian financial market, particularly focusing on acquirers and banking applications. Holds the position of Software Specialist within three squads, responsible for modeling and developing a Payment Gateway using multiple microservices designed for cloud environments, predominantly AWS, with a Spring Boot-based stack. Professional experience includes maintaining, evolving, and decomposing monolithic applications, utilizing various architectural patterns such as Domain-Driven Design (DDD), Ports and Adapters, Command Query Responsibility Segregation (CQRS), and Model-View-Controller (MVC), along with technologies widely used in modern software development. Regarded as a key reference for other developers and serves as a vital connection between business and technical realms.

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.

Front-end developer skilled in leading market technologies such as React Hooks, API Rest, TypeScript, Git Flow, Sass, and Styled Components. Experiences include participating in high-traffic projects and leading applications from conception to launch. Demonstrates the capability to rapidly assimilate new technologies, emphasizing the importance of continuous learning for the advancement of innovative and high-quality web solutions. Committed to crafting exceptional and optimized user interfaces while working collaboratively to fulfill project requirements. Actively seeking opportunities to apply expertise and further evolve as a developer.

A software development professional with over 11 years of expertise in Java, possessing significant experience in both governmental and private sector projects. This individual specializes in developing Java solutions and Spring Boot RESTful APIs, demonstrating a keen ability to create robust and efficient systems that drive business growth. With a strong commitment to continuous learning and staying abreast of emerging technologies, there is a clear dedication to professional development and delivering high-quality results.

Google Cloud Speech-to-Text is a service that converts audio to text using advanced machine learning models. It supports various languages and can transcribe both real-time streaming and pre-recorded audio with high accuracy.

A Google Cloud Speech-to-Text expert must have skills in machine learning, natural language processing, and cloud computing. Proficiency in programming languages such as Python or Java, experience with RESTful APIs, and familiarity with Google Cloud Platform services are also essential.

How to hire a Google Cloud Speech-to-Text expert

Google Cloud Speech-to-Text was introduced by Google in 2016. It was developed to leverage Google's advancements in machine learning and natural language processing to provide accurate and scalable speech recognition capabilities for various applications.

About Google Cloud Speech-to-Text

Strengths of Google Cloud Speech-to-Text include high accuracy, support for multiple languages, and real-time transcription. Weaknesses involve potential privacy concerns and dependency on internet connectivity. Competitors include Amazon Transcribe, IBM Watson Speech to Text, and Microsoft Azure Speech to Text.

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About Google Cloud Speech-to-Text

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