A frontend software engineer and Computer Science student, with a focus on React.js and React Native. The role involves maintaining and developing React and React Native applications from inception. Additional backend experience includes working with Laravel (PHP), Node.js (JavaScript), and .NET (C#). Side projects are approached with flexibility, selecting the most suitable technologies. 

Technical proficiencies extend to React Query, Material-UI, design systems, Jest, Testing Library, AWS, GitHub Actions, Redux, and Redux-Saga. For further details of professional work, visit the associated GitHub profile at [https://github.com/VanLMC](https://github.com/VanLMC).

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.

A Mobile Developer specializing in Android platforms with additional proficiency in Swift and substantial experience in creating Hybrid applications using Flutter.

Mathematics student with a burgeoning focus on data science and machine learning. Developed expertise in creating non-linear optimization algorithms utilizing Fortran. Seeks to leverage mathematical acumen in computing to enhance process efficiency and optimization.

Experienced Software Development Professional specializing in the planning, development, and implementation of systems using modern technologies. Currently positioned as a Mid-Level Developer since September 2023, leading software development projects with Next.JS. Formerly a Junior Developer, with substantial experience in the development, evolution, and maintenance of projects utilizing technologies such as React.JS, Typescript, Redux, Styled-components, Material-UI, and Context-API, alongside API consumption.

Senior Software Engineer with over five years of experience in developing scalable and highly available systems. Specializes in Java backend development with extensive knowledge of frameworks such as Spring Boot and Quarkus. Demonstrates significant experience in leading technical teams, particularly within the banking sector.

Proficient in multiple programming languages, including Java, Typescript, and Golang, with a strong background in microservices architecture and messaging technologies, such as Kafka, RabbitMQ, and SNS. Possesses expert knowledge in cloud computing, with practical experience using AWS and GCP.

Outside of professional endeavors, maintains a strong family focus and enjoys video gaming, practicing Muay Thai, and participating in crossfit activities.

Senior Software Engineer with over seven years of expertise specializing in web development, primarily focusing on TypeScript, Python, and AWS. Proficient in the development of applications utilizing microservices and REST APIs, and adept at migrating legacy systems. Experienced in software architecture design, mentoring developers, and implementing automated testing. Contributed to major projects such as ensuring compliance with the General Data Protection Law (LGPD) and developing data engineering solutions. Demonstrates a strong passion for programming and a dedication to improving the development experience within teams.

A technology enthusiast with expertise in web and mobile software development demonstrates a commitment to continuous learning and staying informed about industry trends. This dedication fosters ongoing growth and the acquisition of new market experiences. Core competencies include JavaScript, HTML, CSS, ReactJS, NextJS, React Native, Jquery, Typescript, React Hooks, Redux/Sagas, Styled Components, SASS, LESS, Bootstrap, SCRUM, and Git. Exhibits the capacity and willingness to diligently undertake and excel in assigned roles.

Google Cloud Vision AI is a service that uses machine learning to analyze and interpret visual data. It provides capabilities such as image labeling, object detection, text extraction, and facial recognition.

A Google Cloud Vision AI expert must have skills in machine learning, Python programming, and experience with RESTful APIs. Proficiency in using Google Cloud Platform services, including Google Cloud Storage and BigQuery, is also essential.

How to hire a Google Cloud Vision AI expert

Google Cloud Vision AI was launched by Google in 2016. It was created to leverage Google's expertise in machine learning and computer vision, providing developers with tools to analyze and interpret visual data through APIs.

About Google Cloud Vision AI

Strengths of Google Cloud Vision AI include advanced image recognition, scalability, and integration with other Google Cloud services. Weaknesses include potential privacy concerns and dependency on internet connectivity. Competitors include Amazon Rekognition, Microsoft Azure Computer Vision, and IBM Watson Visual Recognition.

Google Cloud Vision AI

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About Google Cloud Vision AI

How to hire a Google Cloud Vision AI expert

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