Possessing over six years of experience in the IT sector with a focus on web development and Robotic Process Automation (RPA), the candidate has acquired extensive knowledge of diverse methodologies and work environments. The current objective is to collaborate in an analytical and dynamic setting, driven by a commitment to achieving goals and resolving complex problems using advanced web technologies and contemporary management practices. Recently, there has been a concentrated effort to study and implement technologies such as Python, AWS, and Cloud Computing to enhance their optimization and practical application.

A Full-Stack Developer with expertise in backend technologies, notably Node, Python, and Golang. With a robust foundation in both frontend and backend development, current professional interests and efforts are directed towards backend systems. Proficient in software architecture principles, including Domain-Driven Design (DDD), Clean Architecture, and SOLID principles. Holds a background in Industrial Electronics and brings over three years of experience in embedded systems development utilizing C and C++.

Certified Borland Developer in Delphi 7 with a Test Registration ID of 9J0-21130844 and a score of 86.7. Possesses 15 years of experience in Delphi, specializing in advanced Object-Oriented Programming (OOP), component design, and frameworks. Holds 9 years of experience in C#, focusing on component design using Visual Studio and Mono C#. Demonstrates 9 years of expertise in Unity3D for developing games and applications for iPhone and Android, particularly in Augmented Reality (AR) and Virtual Reality (VR). Expertise in SmartMatrix GIS4D, utilizing advanced Unity techniques for Geographic Information Systems (GIS), point cloud rendering, and complex Shader development. Experienced in developing the multiplayer game platform BlocksXR, supporting up to 8 players on Oculus Quest, Oculus Rift, and SteamVR, which allows users to play in AR on Android, iOS, and iPad.

Possessing extensive experience in projects centered on migrating from legacy systems, constructing APIs, integrating systems, and developing platforms, microservices, and MVPs, this individual has demonstrated expertise as a full-stack developer with a strong command of Java, Python, PHP, and NodeJS. Presently specializing in back-end development, there is a keen interest in advancing towards technical leadership roles.

A fifth-year Computer Engineering student at UEPG, with a current focus on mobile development utilizing technologies such as Flutter, React Native, TypeScript, and Redux. Possesses two years of experience in web development, working proficiently with Laravel, CSS, JQuery, and Bootstrap. Demonstrates expertise in programming with ReactJS, React Native, Flutter, Node.js, Java, and C, along with a foundational knowledge of native Android development using Kotlin and UI/UX principles.

Motivated by the capabilities of programming and algorithmic problem-solving, expertise is demonstrated in the JavaScript stack through the utility of TypeScript, React, Node.js, and their associated frameworks for both Front-End and Back-End development. With 3 years of professional experience advancing from a Junior to Mid-Level position, proficiency spans across projects involving Power BI, React, RESTful APIs, ASP.NET, Python, Node.js, adhering to SOLID principles and Clean Code practices. Familiarity extends to SQL Server, ORM technologies, messaging systems such as RabbitMQ, RPA/Automation, and Socket.io. A continuous pursuit of new challenges and ongoing education underscores a commitment to enhancing skills in the rapidly evolving technology sector. A proven track record of successful projects showcases the ability to create innovative solutions and optimize existing processes, affirming programming as the foremost professional passion.

Software Developer specializing in best programming practices, specifically the principles of Clean Code and SOLID. Engages in team development through pair programming and code reviews while utilizing the Scrum framework and git-based version control.

Experience spans projects in gamified simulators, data visualization platforms, REST APIs, and billing systems. Technically adept in Python, particularly with FastAPI, Pytest, Pydantic, Alembic, and Uvicorn, along with experience in SQLAlchemy, and familiarity with Celery and RabbitMQ for task queuing and messaging. Well-versed in DDD (Domain Driven Design), Unit of Work pattern, Microservices architecture, Monolithic applications, Web APIs, Service Workers, and WebSocket.

Front-end development skills include JavaScript, TypeScript, and React, along with proficiency in UI frameworks such as Material UI, Ant Design, and Bootstrap. Experienced in CSS preprocessors like Styled Components and Sass/Scss/Less, and state management tools including Redux, Redux Toolkit, and Context API. Testing proficiency includes Jest, Cypress, and React Testing Library.

Expertise in AWS services, including CloudWatch for monitoring and observability, containerization technologies like Docker and Kubernetes, and Amazon S3. Familiar with a variety of databases, including MySQL, PostgreSQL, and MongoDB. Proficient in using Azure DevOps for CI/CD pipelines, artifacts, and Git boards.

Front-end Developer holding a Bachelor’s degree in Audiovisual from Centro Universitário Senac. Demonstrates extensive experience in creating responsive layouts with technologies such as Bootstrap, Flexbox, Grid, SASS, and jQuery. Proficient in setting up development environments using Webpack, Gulp, and NPM, as well as in front-end development for Laravel (Blade). Experienced in managing Linux servers, version control with Git, shell scripting, and applying the Kanban method for workflow management. Actively pursuing further education in Angular and Node.js.


Hugging Face DistilBERT is a smaller, faster, and lighter version of the BERT language model designed to perform natural language processing tasks such as text classification, sentiment analysis, and question answering with reduced computational resources while maintaining a high level of accuracy.

A Hugging Face DistilBERT expert must have skills in Python programming, experience with the Hugging Face Transformers library, proficiency in natural language processing (NLP) techniques, understanding of transfer learning and model fine-tuning, and familiarity with deep learning frameworks such as TensorFlow or PyTorch.

How to hire a Hugging Face DistilBERT expert

Hugging Face DistilBERT was created in 2019 by the team at Hugging Face. It was developed to provide a more efficient version of the BERT language model, reducing its size and computational requirements while retaining much of its accuracy. The goal was to make advanced natural language processing more accessible and practical for a wider range of applications and devices.

About Hugging Face DistilBERT

Strengths of Hugging Face DistilBERT include its reduced size, faster inference times, and lower computational requirements while maintaining high accuracy. Weaknesses involve potential loss of some accuracy compared to the original 

, which also aim to optimize performance and efficiency in natural language processing tasks.

Hugging Face DistilBERT

Top 5*

Large Language Models (LLMs)

About Hugging Face DistilBERT

How to hire a Hugging Face DistilBERT expert

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