- Engineered a secure user authentication system using AWS Cognito with Secure Remote Password (SRP) protocol and social login- Designed event-driven architectures with AWS services (EventBridge, SQS, SNS, Step Functions) to handle high traffic and maintain reliability- Built scalable APIs with AWS Lambda and API Gateway using Infrastructure as Code (AWS SAM, CDK)- Modeled tables with DynamoDB’s Single Table Design and used Elasticsearch for complex queries- Developed React web pages with atomic design principles and used micro frontends (single-spa) for modularity

- Built scalable data processing pipelines for IoT sensors using AWS (Lambdas, SQS, DynamoDB, etc), processing thousands of data points daily for AI-based classification- Managed event-driven microservices for web scrapers using AWS (Lambdas, SQS, RDS, EC2, ECR, among others), handling millions of data points daily and ensuring high-accuracy data capture for BI teams to optimize product pricing - Rebuilt a legacy CRM system with a modern ReactJS UI and NestJS backend, optimizing database queries and API responses, reducing page load times significantly, while maintaining compatibility with the legacy system- Integrated Salesforce API with Zenvia via Digibee to link WhatsApp bots for client communication, syncing actions with Salesforce databases- Implemented new features for an existing website, using Angular- Developed a proofreading service platform with frontend in VueJS and backend in NestJS

Support to researchers in data engineering and data analysis area.Used data collected in Hospital Boldrini, related to mass spectrometry of human body tissues, especially of tumors, to create a database with processed data, ensuring an ease of use for another researchers.After this phase, a data analysis was made over the data, and different machine learning models were applied over it, to study what results could be obtained. The good notice is that good results were reached.

Support users about the use of the lab computers, which were run from a central server, and which the main purpose were to run programs related to geophysics, or other physical/mathematical applications developed by Ph.D. and M.Sc. students.

Support for questions from employees, maintenance of personal data such as: time registration, vacation requests, and sending of document mailings.In addition, tasks such as organizing physical and digital files, processing files, maintaining spreadsheets, and creating reports in Excel were also performed.