Back-end developer with over two decades of experience in web development and infrastructure, specializing in high-traffic applications. Expertise encompasses functional programming, Laravel, Object-Oriented Programming (OOP), DevOps, PHP, C#, and JavaScript. Committed to application scalability, robust infrastructure, and adherence to best development practices.

IT infrastructure and technical support professional with over 20 years of industry experience. Skilled in managing complex IT systems, providing comprehensive technical support, and ensuring seamless operational functionality. Demonstrates a robust understanding of networking, server management, and troubleshooting, coupled with a commitment to optimizing technological processes and enhancing system performance.


A software development professional with over 11 years of expertise in Java, possessing significant experience in both governmental and private sector projects. This individual specializes in developing Java solutions and Spring Boot RESTful APIs, demonstrating a keen ability to create robust and efficient systems that drive business growth. With a strong commitment to continuous learning and staying abreast of emerging technologies, there is a clear dedication to professional development and delivering high-quality results.

Full-Stack Developer specializing in Back-end development with extensive experience in programming languages including Kotlin, PHP, and JavaScript.

Full-stack developer with over five years of professional experience specializing in web development and infrastructure. Demonstrates expertise in managing high-traffic applications, with strong proficiency in functional programming, Object-Oriented Programming (OOP), and various development and deployment practices. Commands a deep knowledge of programming languages including PHP, Golang, and JavaScript. Areas of interest and specialization include application scalability, infrastructure optimization, and best practices in development, particularly in Test-Driven Development (TDD) and Behavior-Driven Development (BDD).

Back-end developer with a decade of experience in web development, specializing in object-oriented PHP projects. Proficient in utilizing both frameworks and standalone PHP, adhering to best practices, agile methodologies, and continuous delivery principles.

An Information Systems graduate from Universidade Santa Cecília, complemented by a Logistics degree from Etec Paula Souza, with over a decade of experience as an Administrative Assistant, skillfully managed team coordination, instruction, and organization. Currently specializes in Frontend development, demonstrating professional expertise in TypeScript, Next.js, and Chakra UI. Personal projects, accessible on GitHub, emphasize a strong command of Javascript, SASS, ReactJS, Next.js, Typescript, and Chakra UI.

JavaScript Developer specializing in Node JS, React JS, TypeScript, and React Native. Demonstrates a committed expertise in technology and excels in creating clean, maintainable code by adhering to MVVM and MVC patterns as well as Agile methodologies. Highly proficient in JavaScript, providing support and development across a variety of applications. Career goals include leading a development team to achieve new standards of excellence. Consistently seeks opportunities to leverage technical skills within a progressive and innovative team environment.

Hugging Face MarianMT is a machine translation model based on the MarianNMT framework, designed for translating text between multiple languages. It leverages neural networks to provide accurate and efficient translations, supporting a wide range of language pairs.

A Hugging Face MarianMT expert must have skills in Python programming, experience with the Hugging Face Transformers library, proficiency in natural language processing (NLP), and knowledge of neural machine translation models. Familiarity with deep learning frameworks like PyTorch or TensorFlow is also essential.

How to hire a Hugging Face MarianMT expert

Hugging Face MarianMT was developed as part of the Hugging Face Transformers library to provide robust machine translation capabilities. It utilized the MarianNMT framework, which was originally created by the University of Edinburgh. The model aimed to offer high-quality translations for a variety of language pairs, leveraging advancements in neural machine translation technology.

About Hugging Face MarianMT

 MarianMT include high translation accuracy, support for numerous language pairs, and integration with the Hugging Face ecosystem. Weaknesses may involve the need for substantial computational resources and potential limitations in handling idiomatic expressions. Competitors include 

Hugging Face MarianMT

Top 5*

Large Language Models (LLMs)

About Hugging Face MarianMT

How to hire a Hugging Face MarianMT expert

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