A graduate in Industrial Automation currently pursuing a degree in Computer Engineering, with a keen interest in development and the acquisition of new programming languages.

Backend Software Engineer with over four years of experience in software engineering. Specialized in designing, developing, and maintaining highly scalable Node.js microservices, with proficiency in handling high-demand services through the use of frameworks such as Nest.JS, Express.js, and TypeScript. Demonstrated expertise in managing both relational and non-relational databases, including MongoDB, MySQL, and PostgreSQL, while leveraging cloud computing services such as RDS, Mongo Atlas, and S3. Extensive experience in developing event-driven microservices using technologies like RabbitMQ and SQS, as well as utilizing an array of AWS tools including CloudWatch, EC2, ECS, and Lambda. Skilled in creating applications with high observability and employing monitoring tools such as New Relic, CloudWatch, and Prometheus. Adept at automated testing across various levels, including unit tests, integration tests, performance testing, service testing, end-to-end testing, and mutation testing.

A dedicated developer with approximately a decade of experience in software development, specializing in devising innovative and efficient technological solutions for intricate problems. Possesses substantial expertise in multiple programming languages and has a solid background in both front-end and back-end development, design principles, and agile project management. Consistently pursuing new projects and opportunities for collaboration.

Front-End Developer with extensive experience since 2014, proficient in working across various scales of businesses. Specializes in HTML, CSS (including Sass and Less), and JavaScript frameworks such as JQuery, Vue.js, and React.

Professional with over 15 years of experience specializing in Java and JavaScript, with additional expertise in C# and PHP. Proven track record in client-facing roles for requirements gathering, coupled with extensive experience in both analysis and development phases.

Graduate in Systems Analysis and Development from Universidade Luterana do Brasil - Torres. Seeks to gain expertise in mobile development and design solutions. Aims to leverage previously acquired experience to solve problems effectively and efficiently. Professional experience encompasses project work utilizing the Flutter framework and designing screens for applications and websites as part of a volunteer initiative at the Software Development Laboratory of Ulbra Campus Torres.

Web developer with over nine years of experience in PHP and JavaScript/jQuery, encompassing roles in both digital agencies and freelance projects specializing in WordPress, Vue.js, and Laravel from 2013 to 2020. In 2020, the role shifted to a SaaS project for six months as a PHP developer. Following this, initiated and led a digital agency concentrating on e-commerce, which operated from 2021 until mid-2023. Currently, efforts are focused on roles that capitalize on JavaScript, React, and Node.js skills, which are the subjects of ongoing study and development, with projects actively updated on GitHub.

Bachelor of Computer Science from the State University of Maringá, graduated in March 2020, possessing foundational knowledge in programming languages such as C, C++, Java, Python, Racket, Prolog, and JavaScript. Experienced with technologies including Git, React, and SpringBoot, and a strong grasp of object-oriented programming, with a particular interest in front-end development. Recognized as an outstanding student in the Computer Science course. Initially graduated without professional experience, but quickly acquired proficiency in React Native and React JS within three months post-graduation. Currently employed as a junior front-end developer since 2021, specializing in Flutter and ReactJS, with an ongoing enthusiasm for UI/UX design.

Google Cloud Video Intelligence is a service that uses machine learning to analyze video content. It can detect objects, activities, and scenes within videos, enabling users to search and categorize video data efficiently.

A Google Cloud Video Intelligence expert must have skills in machine learning, data analysis, and video processing. Proficiency in using Google Cloud Platform services, particularly APIs, is essential. Knowledge of programming languages such as Python and familiarity with video encoding and metadata extraction are also crucial.

How to hire a Google Cloud Video Intelligence expert

Google Cloud Video Intelligence was introduced by Google in 2017. It was developed to leverage machine learning for analyzing video content, allowing users to detect objects, activities, and scenes within videos for improved search and categorization.

About Google Cloud Video Intelligence

Strengths of Google Cloud Video Intelligence included advanced machine learning capabilities, accurate object detection, and robust scene analysis. Weaknesses involved potential high costs and occasional inaccuracies in complex video contexts. Competitors included Amazon Rekognition, Microsoft Azure Video Indexer, and IBM Watson Video Enrichment.

Google Cloud Video Intelligence

Top 5*

AI Cloud Services

About Google Cloud Video Intelligence

How to hire a Google Cloud Video Intelligence expert

The Best of the Best Optimized for Your Budget