Paulo is a driven and accomplished developer specializing in back-end development using Python with Django, and now going deeper into JavaScript with React and Node.js. He is comfortable working with small and medium teams and seeks to explore Agile methodologies more deeply. Paulo enjoys working in environments where code cooperation and discussion of solutions are prioritized.
Maintained the system and created new features based on React and Node.js to manage human resources in software development agencies. The application is used internally by multiple staff members and the managing team daily.
Created other smaller web apps, relying on modern principles like single-page application and REST and technologies like React, Node.js, and MongoDB.
Worked under the Agile methodology, based on daily meetings and sprints every two weeks, supported by Jira and Git.
Released the third version of HintClub, launching Cartolol, a fantasy game based on the Brazilian League of Legends Championship.
Built the first, second, third, and fourth websites for the Cbolão Championship, a charity tournament that helps in cases like COVID-19 and the floods in Pernambuco, Brazil.
Created the website of the Wild Rift esports team, Só Agradece.
Developed the streamer souvenir webshop: Só Agradece Store.
Engaged as a web developer for UFPa's Computational Intelligence and Operational Research Laboratory (LINC).
Developed an energy control system that calculated and balanced electrical load.
Created the first social network to share papers, content, research data, and other relevant academic information among three labs as a start.
Built a second social network named DemaisEficiência, projected to promote social inclusion by exchanging scientifically valid knowledge and interacting with families, institutions, professionals, and people with disabilities.
Produced numerous websites, including the first, second, and third Social CRM Belém Conference and the university dean application websites.
Participated as a student teacher, training first-year students through hands-on workshops on the Factory of Computer Systems.
Developed a feature to retrieve data from several Google spreadsheets to generate PDF royalty reports with the Django-PDFKit library.
Collaborated with project stakeholders to extract necessary business information for database planning and modeling to preserve all required properties from Google Sheets and Shopify API.
Developed a set of classes for connection with Google Sheets, generalizing the connection and access to dozens of spreadsheets, in the same way allowing each class to work exclusively with its immediate need.
Developed a set of classes to connect with Shopify, generalizing the connection and access to the available and necessary endpoints. However, already prepared for any other endpoints needed in the future.
A fantasy esports game based on the Brazilian League of Legends Championship (CBLOL).
The game achieved massive popularity in Brazil, with over 70,000 registered users and weekly play of around 35,000.
The lead developer implemented an algorithm to assign player prices and scores based on Z-score, weights, and hype value, optimizing for weekly championship performance and load balancing.
Develops an algorithm to recommend jury compositions for master's and doctoral thesis defenses at the University of Coimbra's engineering and computer department.
The system considers thesis proposals, professors' expertise, and predefined constraints when generating jury recommendations.
Users can modify and validate jury constraints to improve the system's selection accuracy.
Developed three websites for the Social CRM Belém Conference: a ticket-selling website, a certificate generation tool, and a Twitter post retrieval tool.
The websites were integrated with a ticket-selling platform to manage event ticketing, availability, and seat positions.
Implemented functionality to generate conference attendance certificates for purchasers and those added to the system after purchasing tickets.
A web system automates the calculation of public funds transfer from the federal government to the state of Pará, Brazil.
The system uses data including population, previous year's population, and previous year's health exam costs to predict the required funds for the following year.
The system has been developed to automate over 150 manual calculations previously performed.
