Software engineer specializing in backend systems using Java, experienced in employing a variety of traditional and contemporary test frameworks for unit, acceptance, mocking, integration, and behavior-driven development (BDD) testing. Demonstrated proficiency in developing and maintaining systems for microservices, including both consumption and construction of REST APIs. 

Technical expertise includes Java with Spring and JPA frameworks, as well as test frameworks such as JUnit and Mockito. Proficient in managing both SQL (SQL Server, Oracle, MySQL) and NoSQL (MongoDB, Cassandra) databases, and experienced with message brokers such as Apache Kafka, IBM MQ, and RabbitMQ. Skilled in integrating REST APIs and familiar with various architectures, including Service-Oriented Architecture (SOA), web services, NoSQL, Hadoop, and microservices. Additionally, experienced with application servers like JBoss and WildFly, and currently undergoing training in AWS.

A seasoned developer specializing in web application creation utilizing HTML5, CSS3, and JavaScript, with a focus on delivering innovative and efficient solutions that align with client and user requirements through market-leading practices and technologies. Continuously engaged in skill advancement and currently enrolled in an intensive Full Stack Pro training program in information technologies and systems.

Accumulated experience in hosting, e-commerce, and digital marketing environments, where proficiency was gained in PHP, Zend Framework, Git, GitHub, MySQL, and Postgres. Responsibilities encompassed the development and maintenance of websites and systems for various clients. Additionally, served as a high school assistant at Instituto Centro de Ensino Tecnológico - CENTEC, imparting knowledge in object-oriented programming, data structures, and web programming to students enrolled in professional courses. These roles significantly enhanced technical, pedagogical, and communication competencies.

Systems Analysis and Development graduate from Universidade Cidade de São Paulo (UNICID) with over five years of experience in C#. Proficiencies include ASP.Net MVC, jQuery, JavaScript, WPF, WCF, JSON, Bootstrap, Angular, SQL, MongoDB, and .Net Core. Additional expertise encompasses Kotlin, Xamarin, React, Material Design, Application Insights, Redis, Docker, Kubernetes, and RabbitMQ. Actively pursuing opportunities to advance in career and take on new challenges.

Mobile application developer with a specialization in React Native and its ecosystem. Proficient in utilizing both JavaScript and TypeScript, with substantial experience in CLI, Expo, Styled-Components, Redux, Redux-Toolkit, and React-Hooks. Additionally knowledgeable in Kotlin and Swift, enhancing capabilities in native mobile app development. Professional experiences have fostered the development of strong interpersonal skills such as effective communication, teamwork, positive colleague interactions, resilience, incorporation of feedback, and problem-solving.

React JS Developer with a deep-seated passion for coding that transcends professional boundaries. Recognized for proactivity and a collaborative mindset, bringing a wealth of expertise in React JS to team settings and driving innovative solutions. Committed to continuous learning and professional development, as illustrated by active engagement and networking within the tech community.

Possessing a master's degree in Computer Science from the Federal University of São Carlos, this data scientist leverages expertise in machine learning, data mining, distributed systems, and web programming in her role at a major retail corporation. She has demonstrated proficiency in developing and monitoring machine learning models, enhancing data platforms utilizing technologies such as Google Cloud Platform and Kubernetes, and securing model lifecycle management with tools including Kubeflow and mlFlow. Additionally, her experience as a full-stack web developer across various projects underscores her versatility in backend and frontend technologies, cloud storage solutions, and data processing, having worked with programming languages like Python, Golang, and JavaScript, as well as database management systems including MySQL and MongoDB.

Javascript Developer with a strong focus on technology and entrepreneurship, demonstrating expertise in collaborating within multidisciplinary teams. Committed to knowledge sharing as a crucial element for professional development. Presently operating in the admissions sector, contributing alongside the marketing team to advance a chatbot platform designed to improve candidate experience and lower new student acquisition costs. This involves creating efficient and interactive chatbots to optimize the admissions process.

Front-end Developer with six years of experience, beginning as a freelancer specializing in WordPress, HTML, CSS, and JavaScript. Professional trajectory includes roles emphasizing SASS, Gulp, Webpack, Git, React Native, and notably, React.js and its ecosystem. Displays a career-oriented focus on React.js while maintaining openness to other emerging technologies. Recognized for a dedicated approach to continuous technical improvement, the skill set further encompasses competencies in Node.js and Java with Spring Boot.

Advice Taker is an early artificial intelligence system proposed by John McCarthy in 1958. It processes natural language instructions to solve problems and make decisions, representing knowledge in a formalized manner to enable machine reasoning.

An Advice Taker expert must have skills in formal logic, natural language processing, knowledge representation, and early AI programming techniques. Proficiency in Lisp or similar symbolic processing languages is also essential.

How to hire a Advice Taker expert

Advice Taker was an early artificial intelligence system proposed by John McCarthy in 1958. It aimed to process natural language instructions for problem-solving and decision-making, representing a significant step towards machine reasoning and formalized knowledge representation.

About Advice Taker

Advice Taker's strengths included its ability to process natural language instructions and formalize knowledge for machine reasoning. Its weaknesses were the limited computational power and lack of advanced algorithms available at the time. Competitors included other early AI systems like Newell and Simon's General Problem Solver (GPS).

Advice Taker

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About Advice Taker

How to hire a Advice Taker expert

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