As a .NET, Typescript and Python Developer at Ouribank, at Credit and Collections Squad, my role is to design, develop, and maintain internal systems, closely aligning with the product and design teams to ensure the effective implementation of new features. Our tech stack includes Python, C# (.NET 7), FastAPI, and SQL and NoSQL databases. The infrastructure is on AWS cloud, using products like AWS Lambda Functions using Serverless Framework, AWS Step Functions, AWS Firehose, AWS DynamoDB, AWS Glue and others.

At FAPESP/Stefanini as a Python Developer, I played a crucial role in maintaining and expanding the Virtual Library, a critical system for managing research projects and grants in São Paulo. The system, based on Django, used Solr as a search engine, facilitating access and management of detailed academic information, and MySQL as a database. The system's infrastructure was entirely internal. I also worked on integrating APIs from academic works, such as Web of Science.I was responsible for implementing significant improvements in both the front-end and back-end of the system, ensuring an enhanced user experience and more efficient data management. Additionally, I led the generation of detailed business reports, providing valuable insights for decision making and monitoring academic and financial indicators.I also addressed specific demands from researchers, performing necessary corrections and adjustments to ensure the accuracy and integrity of the platform's data. These actions were crucial in supporting the research community in São Paulo, optimizing the management of resources and funded research projects.

As a Python and TypeScript Developer at this company dedicated to helping people resolve their debts, I played a vital role in creating and optimizing systems that not only improved the life of the company's Analysts but also enhanced the customer experience with the platform. I was responsible for developing improvements and new features in the backend using Django and Django Rest Framework, and in the frontend using NextJS with TypeScript. Tests were developed using PyTest for Python and Jest for TypeScript, and end-to-end tests were conducted using Playwright. I implemented crucial integrations with payment APIs, virtual contracts, and credit bureaus like Serasa and Boa Vista, increasing the effectiveness of our services.Additionally, I developed a Google Chrome extension that automates the scraping of debt information registered in Serasa, providing an innovative and efficient solution for collecting essential client data. I managed the cloud infrastructure using Heroku and AWS and maintained the code on Bitbucket, where I also created an automation pipeline for deployment, optimizing our software development and release processes.My tasks also included monitoring the system's performance through tools like NewRelic and managing errors using Sentry, ensuring the robustness and security of the software. Leading a team of two developers, I prioritized the development of features based on business and user needs, ensuring that the systems evolved according to market demands. The technologies and methods I implemented not only improved operational efficiency but also significantly expanded our value proposition to our clients, facilitating the process of clearing names safely and effectively.

As a Python Developer at Cotabest, an innovative marketplace for supermarkets, I played a key role in optimizing and automating business processes. I was responsible for the development and subsequent maintenance of APIs that facilitated real-time integration with external systems, enabling automatic updates of prices and stocks for our partners. These APIs were part of a robust system built with Django and Django Rest Framework (DRF), complemented by services in FastAPI. Tests were conducted using Python's unittest and end-to-end tests using Playwright.The hosting of the project was carried out on the Google Cloud Platform (GCP), using Kubernetes (GKE) and Cloud SQL (Postgres) to ensure efficiency and scalability. For clients who did not have advanced technological infrastructure, a solution was deployed that accepted Excel spreadsheets for data updating, but with an enhanced pre-verification process to ensure data integrity before processing, unlike the initially executed process.My contributions also included the implementation of a REST API for batch product updates, which provided clients with a UUID to track the processing status. This represented a significant improvement over the previous system, which processed product updates individually and slowly. Additionally, I actively participated in code reviews to ensure coding standards and performance optimization, and designed tests using Pytest to ensure the reliability of the delivered functionalities. I also briefly acted as a TypeScript developer for the frontend and on a microservice project in Golang.The skills and technologies I employed, including Python, Django, Flask, React, Docker, Kubernetes, GitLab, and other tools on GCP, were essential in enhancing the user experience and operational efficiency, resulting in a highly effective and adaptable marketplace platform tailored to the needs of our supermarket partners.

As a Python Developer, my main responsibilities included the development of critical automations involving real-time foreign currency trading, as well as integrating the company's exchange APIs into the automation process. Leading the development and implementation of Robotic Process Automation (RPA), I developed a Django-based interface to manage these processes efficiently and user-friendly. I also led comprehensive testing using Pytest to ensure the stability and functionality of the system.I actively engaged with end users to ensure that new tools were technically compatible and met their expectations. Additionally, I provided customized training, extended support, and created user manuals, aiming to improve the user experience and system adaptability. The skills and technologies I employed, such as Python, Django, Docker, among others, led to significant business process optimization and enhanced user experiences with the new automated tools.

As part of the legal technology team, I played a crucial role in architecting lawsuit classifiers using Natural Language Processing (NLP). I was responsible for developing microservices in Flask to make these classifiers available, ensuring quick and effective integration, and enhancing our Django-based platform. This platform ran on AWS on an EC2 service, using RDS for databases and S3 for file storage. My role also extended to data science, focusing on simplifying legal processes through detailed data analyses and insights.In addition, I performed data extraction, transformation, and loading of lawsuits, both structured and unstructured, from various client sources. I implemented dynamic reporting with Jupyter Notebooks, automating the distribution of reports through Django tasks. I contributed significantly to specifying new projects, using UML and BPMN for precise visualization, and developed text classifiers for processes with the Spacy library.I also led automation initiatives using tools such as Selenium, Requests, and Scrapy, and explored the use of Tesseract for optical character recognition, transforming data extracted from PDFs into analyzable information. These tasks were executed on AWS, using Lambda to perform extraction, RDS to store data, and SQS to synchronize execution. The technologies and methods I implemented resulted in a substantial improvement in the efficiency and accuracy of legal processes, significantly expanding our value proposition to our clients and demonstrating the vital impact of technology on continuous process optimization in businesses.

As a Systems Analyst at Cotação DTVM, I was responsible for gathering requirements, modeling systems with UML, and mapping processes with BPMN to maintain and update the internal currency exchange system, as well as generating reports and monitoring indicators using SQL Server and Transact-SQL. As a Python developer, I implemented process automations (RPA) for buying and selling foreign currency using Selenium, Tesseract, Requests, and BeautifulSoup, executed in a Docker environment and managed through a web interface developed in Django. Additionally, I created web crawlers to check exchange rate offers. The implementation of these technologies resulted in a 40% increase in daily sales volume and significantly improved the efficiency and accuracy of operations, emphasizing the importance of technological solutions in the continuous evolution of business processes.

At the public company PRODEPA (Data Processing of the State of Pará), as a Requirements Analyst and project manager, I was responsible for gathering and defining requirements using Enterprise Architect software, modeling systems using UML, mapping business processes using BPMN, designing user interfaces, and drafting technical specification documents for various systems, including dental plan management, tasks, free courses, and state asset management. I directly engaged with stakeholders, used PostgreSQL, pgSQL, and Crystal Reports for report creation and indicator monitoring, ensuring solutions that precisely met the needs of end users. The systems developed under my management optimized the efficiency of public services and improved resource management, contributing to operational effectiveness and satisfaction.

In response to the needs of the Secretariat of Education of the State of Pará (SEDUC-PA) for a system to equitably distribute financial resources to state schools, I was responsible for developing a Budgetary and Financial Analysis Module. I used PHP, MySQL, HTML, JavaScript, and jQuery to develop the system, ensuring a solution that adapted to the varied needs of the schools, such as renovations and the number of students. The project resulted in a more accurate and fair resource allocation process, increasing transparency and satisfaction among school administrators with the new method of fund distribution.