Full-Stack Developer dedicated to continuous learning and skill enhancement. Demonstrates significant experience in web languages and is proficient in utilizing frameworks including Angular, Laravel, and Ionic.

Holding a degree in Systems Analysis and Development and an MBA with a specialization in Business Intelligence, the candidate currently serves as a Data Analyst. They have cultivated a career in Data Science, demonstrating proficiency in various phases of data management, including extraction, transformation, loading, and modeling (ETL). Additionally, they are adept at creating and maintaining reports in tools such as Excel and Power BI, with a focus on key performance indicators (KPIs) and balanced scorecards (BSC). Their expertise has facilitated the generation of insights to support operational decision-making processes.

Data Engineer with three years of experience specializing in the energy and financial sectors, complemented by one year of consultancy in Tableau. Expertise includes the utilization of Microsoft Azure cloud infrastructure for ETL/ELT processes, leveraging tools such as Python, Spark, SQL Server, Azure Synapse, Azure Data Factory, Databricks, and Pyspark. Proficient in constructing data lake architectures within the Azure Cloud environment and adept at developing and maintaining seamless data pipelines. Demonstrated capability in performance tuning for optimization, managing CI/CD processes using Git Actions, and a thorough understanding of both Agile Scrum and Waterfall methodologies. Skilled in data visualization tools, including Tableau and Power BI. Academic credentials include a Bachelor's degree in Information Systems.

Experienced fullstack web developer with extensive expertise in WordPress, PHP, CSS, HTML5, JavaScript, and related technologies. Demonstrates a strong track record in leading front-end development teams, implementing industry best practices, and delivering high-caliber websites. Skilled in theme customization, bug resolution, and offering thorough support. Fluent in Portuguese and English, with proficiency in Italian and Spanish.

Full Stack Web Developer specializing in Node.js, Vue.js, and the Quasar Framework. Proficient in Linux system management, particularly with Slackware, adept at containerization using Docker, and experienced with version control through Git.

Back-end developer with extensive experience in web application development using PHP, possessing advanced skills in Laravel and a strong capability in front-end enhancement. Specializes in the construction of APIs and adept at database management. Future aspirations include expanding expertise into Machine Learning and Python. Proficient in implementing Agile methodologies, particularly SCRUM, with a proven track record of enhancing productivity and work quality through Agile practices.

Senior Front-End Developer with over five years of experience specializing in large-scale corporate environments. Possesses extensive expertise in React, Next.js, React Native, and Node.js. Skilled at delivering high-quality, efficient, and robust web and mobile solutions, aiming to contribute significantly to organizational success.

A leader in technology development, specializing in creating innovative solutions in artificial intelligence (AI) and microservices systems, focusing on developing scalable and high-performance architectures with a strong emphasis on integrating advanced technologies to optimize efficiency and functionality. Expertise in conversational and generative AI enables the design of systems incorporating cutting-edge innovations to facilitate natural and intuitive interactions, reflecting proficiency in AI tools and frameworks.

Technical leadership includes coordinating the implementation of distributed systems, utilizing technologies such as AWS Lambda and API Gateway to deliver integrated and efficient cloud services. As an AI specialist and prompt engineer, the role involves developing prompts to enhance the efficiency of conversational and generative systems, integrating these solutions with AI platforms to execute specific tasks and improve interaction and data processing.

Experience as a Software Developer encompasses a wide array of technologies including Java, Vue.js, Flutter, React, Angular, and Node.js, demonstrating competency in developing mobile applications and user interfaces. Technical mastery extends to back-end development using frameworks such as Spring, Hibernate, Express, and NestJS, with practical experience in AI solutions like Microsoft LUIS, IBM Watson, Google Dialogflow, and OpenAI. Proficiency with messaging systems such as RabbitMQ and Apache Kafka, along with managing SQL and NoSQL databases, is also demonstrated.

In the realm of DevOps, there is deep experience with AWS services, the implementation of CI/CD pipelines with Jenkins, version control with Git, and expertise in containerization using Docker and Kubernetes.

Met English is a domain-specific language designed for the concise and precise specification of metamodels, which define the abstract syntax of modeling languages. It allows users to describe the structure, constraints, and semantics of these languages in a formalized manner, facilitating model-driven engineering tasks such as code generation, model transformation, and validation.

A Met English expert must have strong knowledge of metamodeling concepts, proficiency in the syntax and semantics of Met English, experience with model-driven engineering tools, and familiarity with related technologies such as Ecore and UML. They should also possess skills in formal specification and validation of modeling languages.

How to hire a Met English expert

Met English was developed as a part of efforts in model-driven engineering to provide a clear and formal way to specify metamodels. It emerged to address the need for precise definitions of modeling languages, enabling better automation and tool support in software development processes. The exact year of creation and specific individuals involved are not well-documented.

About Met English

Strengths of Met English include its precision in defining metamodels and its ability to facilitate model-driven engineering tasks. Weaknesses involve its steep learning curve and limited adoption compared to more mainstream languages. Competitors include Ecore (used with EMF), MetaGME, and UML profiles.

Met English

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Programming Languages

About Met English

How to hire a Met English expert

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