Juiz de Fora,
Brazil
(
GMT )
Über
I'm a passionate and versatile full-stack software engineer with a proven track record of delivering high-quality software solutions. My love for technology and problem-solving has driven me to excel in the dynamic world of software development. Skills: - Full project management from start to finish - Front-End Technologies: HTML, CSS, JavaScript, React, Next.js, Typescript - Back-End Technologies: Python, Django, Flask, FastAPI, Javascript, Node.js - Database Systems: SQL, NoSQL, MySQL, PostgreSQL, MongoDB, Firebase - Server Management: GCP, Azure, Docker, Kubernetes - Version Control: Git, GitHub, GitLab - Agile Methodologies: Scrum, Kanban - Web and Mobile Development: Responsive design, RESTful APIs Experience: I have worked on a wide range of projects, from creating dynamic web applications to building scalable back-end systems. With a strong foundation in both front-end and back-end technologies, I am able to provide end-to-end solutions. My experience includes collaborating with cross-functional teams, meeting project deadlines, and exceeding client expectations.
I'm a passionate and versatile full-stack software engineer with a proven track record of delivering high-quality software solutions. My love for technology and problem-solving has driven me to excel in the dynamic world of software development. Skills: - Full project management from start to finish - Front-End Technologies: HTML, CSS, JavaScript, React, Next.js, Typescript - Back-End Technologies: Python, Django, Flask, FastAPI, Javascript, Node.js - Database Systems: SQL, NoSQL, MySQL, PostgreSQL, MongoDB, Firebase - Server Management: GCP, Azure, Docker, Kubernetes - Version Control: Git, GitHub, GitLab - Agile Methodologies: Scrum, Kanban - Web and Mobile Development: Responsive design, RESTful APIs Experience: I have worked on a wide range of projects, from creating dynamic web applications to building scalable back-end systems. With a strong foundation in both front-end and back-end technologies, I am able to provide end-to-end solutions. My experience includes collaborating with cross-functional teams, meeting project deadlines, and exceeding client expectations.
Erfahrung
▪ Led a complex energy project. ▪ Trained interns. ▪ Developed and implemented software solutions.
▪ Developed a web application for Financial Planning and Analysis, using Django (backend) and Next JS (frontend). ▪ Developed microservices, API’s and software solutions. ▪ Worked alongside one developer and one manager to develop the whole application on the first year. ▪ Managed SQL and NoSQL databases while being responsible for the company’s database. ▪ Created ETL operations. ▪ Optmized scripts.
Developed and implemented software solutions on Sydle One platform, using: Javascript, ElasticSearch, API REST, webservices and Agile practices.
Managed, planned and coordinated the category activities and members from the following areas: Mechanical, Electronic and Programming.
● Developed embedded system software using C++ for the robots. Created the first code of the category (base code) and the first monitoring and control system structure using an Android app. ● Developed the base electronic circuit of the robots and their PCB's.
Bildung
Projekte
Discord page using React.js and tailwind.
The project is a full-stack web application that allows users to browse through a wide range of products, add them to their shopping carts, and complete the checkout process. For business owners, it offers a simple and efficient way to manage products, orders, and inventory. This project was developed with scalability, security, and usability in mind. It follows best practices for web development to ensure a robust and stable online store.
This is my final paper project for Electrical Engineering course at UFJF. This final paper focuses on generating and comparing machine learning models that are able to classify power quality disturbances. Signals containing 14 types of disturbances are going to be simulated, and, a dataset with those signals will be exported. With Python, a signal processing technique will be applied to the signals, followed by the extraction of 9 features of each one, creating a new dataset that will be used for classification. This new dataset is going to be used to train 8 different machine learning models. After that, they will be compared and evaluated.