Possesses extensive experience in software development and technical support analysis, demonstrating a robust background in creating software solutions and delivering expert technical support.

Fullstack Developer experienced in .Net, Golang, NodeJs, ReactJs, SQL Server, and MongoDB. Proficient in unit testing and adhering to best practices in software development.

Web developer with experience since 2019, holding a degree in Systems Analysis and Development alongside a postgraduate degree in Software Architecture. Proficient in a variety of technologies and methodologies including C#, .NET, PL/SQL, JavaScript, TypeScript, AngularJS, Angular 2+, HTML, CSS, Git, GitFlow, and Bitbucket. Further expertise extends to MongoDB, Docker, React, NodeJS, Express, Amazon SQS, ELK Stack, Jenkins, SonarQube, and Jira. Adopts Scrum methodologies and adheres to DDD, REST API, and SOLID principles. Maintains personal projects on GitHub showcasing developed skills.

Professionally dedicated to optimizing processes and enhancing stakeholder experiences through curiosity, quality, and delivery excellence. Advocates for the transformative potential of technology through Agile Methodologies and DevOps culture. Prioritizes Test-Driven Development to ensure reliability and mitigate deployment issues. Supports pair programming and code review, emphasizing collaboration and continuous learning.

Believes in the significance of interpersonal relationships within project teams to foster mutual collaboration and knowledge exchange, recognizing that technical skill is just one component of successful system development.

A self-taught programmer currently pursuing a degree in Systems Analysis and Development. Possesses a passion for programming, initiated by a collaborative project. Displays a strong capability for embracing challenges and a persistent eagerness to acquire new skills for solving unique problems. Aspires to achieve success in the programming field, demonstrating readiness and enthusiasm for continuous learning and professional advancement.

With a background in Chemistry from UnB, and currently completing degrees in Big Data and an MBA in Data Science and Analytics, this professional has been actively engaged in artificial intelligence since 2022. Demonstrating expertise in computer vision, natural language processing, and recommendation systems, experience includes hands-on roles as an AI Developer at Apollo Solutions Dev and Cromai, focusing on developing applications with LLMs, ETL processes for both structured and unstructured data, and model training and deployment using advanced techniques in deep learning and transformers. Proficient in Python development, the candidate has successfully designed custom datasets, improved data acquisition pipelines, and presented project outcomes through effective storytelling methodologies, supplemented by an AWS Cloud Practitioner certification.

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.

Software Developer with six years of experience, including three years in remote roles. Began career as a FullStack Developer before specializing in Frontend Development. Portfolio available on GitHub at https://github.com/Jonathan-Rios.

Junior Front-end Developer possessing foundational knowledge in AngularJs, MongoDB, SQLServer, JavaScript, NodeJS, Angular9, ReactJs, ReactNative, Html5, Css3, and version control using Git and GitHub. Currently seeking opportunities to further develop technical skills and contribute to the growth of an organization.

Google Cloud AutoML Natural Language is a service that enables developers to train custom machine learning models for natural language processing tasks such as sentiment analysis, entity recognition, and text classification without requiring extensive machine learning expertise.

A Google Cloud AutoML Natural Language expert must have skills in cloud computing, natural language processing, and machine learning. Proficiency in using Google Cloud Platform services, understanding of REST APIs, experience with data preprocessing and annotation, and familiarity with Python for scripting and automation are also essential.

How to hire a Google Cloud AutoML Natural Language expert

Google Cloud AutoML Natural Language was introduced by Google in 2018. It was developed to simplify the process of creating custom natural language processing models, allowing businesses and developers without extensive machine learning expertise to leverage advanced AI capabilities for tasks like sentiment analysis, entity recognition, and text classification.

About Google Cloud AutoML Natural Language

Strengths of Google Cloud AutoML Natural Language include ease of use, scalability, and integration with other Google Cloud services. Weaknesses may involve costs and potential limitations in customization for highly specialized tasks. Competitors include Amazon Comprehend, 

IBM Watson Natural Language Understanding

Google Cloud AutoML Natural Language

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About Google Cloud AutoML Natural Language

How to hire a Google Cloud AutoML Natural Language expert

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