I was part of the team responsible for the core serverless architecture of the company's Internal Developer Platform (IDP). Our team utilized Kubernetes to manage workloads across multiple cloud providers, with a focus on scalability and cost optimization.

We enabled the platform to scale down to zero for idle workloads and rapidly scale up during peak traffic by developing services and integration layers with the API server. This approach gave us full control over a multi-cluster Kubernetes environment.

I contributed to building the first digital insurance company in Brazil by technically leading the platform team that digitized the company's regulatory and underwriting processes. I was responsible for maintaining and developing microservices in Ruby on Rails, Node.js, and Python.

In addition, I built ETLs using SQL and Airflow, and managed integrations with the datalake in AWS Athena.

I was responsible for designing reliable architectures, building and maintaining REST APIs, discussing integration patterns, and solving technical problems. My work primarily involved using Node.js, the Ionic Platform, Swift (iOS), and Java (Android).

I also ensured product quality by utilizing CI/CD tools like Jenkins and automated testing frameworks such as Cypress, Mocha, and Chai.

As a member of the Internet of Things (IoT) team, I was responsible for designing and building technology solutions using Dojot, the Brazilian IoT platform. This platform consists of a set of microservices built with Java, Python, and JavaScript, where I had the opportunity to develop and integrate them with new REST APIs.

The biggest challenge in IoT software is scalability and security, so I learned to develop in a secure and scalable manner, always considering the business domain.

The hospital's Intensive Care Unit had 300 beds and a strict monitoring process. Doctors and nurses need to be on duty so that any anomalies are detected as soon as possible. In patients who have comorbidities, this attention needs to be doubled, even if the protocol is already known. Based on these protocols we use technology to automate the monitoring of these patients, collect vital signs in real time, feed a model of predictability of death and occurrence of sepsis (generalized infection). I am proud to have authored this project, from proof of concept, commercial proposal and technical lead during execution. Even being a small team of 3 developers and 1 data scientist, we delivered a middleware (IoT microservices integrated with the ICU monitors) and a cross-platform application (using Angular 8) that is currently in production, hopefully helping to avoid losses.

Fortaleza, capital of Ceará, has almost 260 km of cycling infrastructure, and this transport has grown progressively in the region since 2016. Therefore, Instituto Atlântico's IoT team created Safe2Go, a mobile application that is different from navigation systems and maps, as it is special for cyclists and suggests safer routes instead of faster routes. Here I was able to design and evolve the project architecture, develop microservices (using Javascript and Python) for communication and sending real-time data from smartphones to collect IoT data and determine the road condition. I was responsible for developing the backend (Node.js) and part of the two versions of the mobile app (v1 using Ionic and v2 in React Native). It was an exciting project to be a part of, made for the community, and which had the support of the city hall. Now it is being incubated by the institute in partnership with a startup in Rio de Janeiro.

The client had a machine with more than 20 years of age (Programmable Logic Controller), responsible for 70% of the production of a complete line of wheat flour, in Fortaleza, Ceará. The main problem is that this old machine constantly required predictive and corrective maintenance, without any kind of monitoring or metrics whatsoever. In this project, with the help of an electrical engineer, we used a Raspberry Pi to connect this machine to the internet, collect the data in real time and send it to an IoT platform. I developed the rest API (Node.js), some microsservices (using Python) and a dashboard (React.js) so that the customer could have at hand, the operational efficiency of the machine, the history of failures and real-time monitoring.

This freelance project was an initiative to deliver a land regulation registration and monitoring system for a civil engineering company. Besides being responsible for developing a Rest API (Nest.js), a web application (React.js) and a mobile application (Flutter), this was an entrepreneurship and management experience.

In this paper, we investigated methods to aggregate measures proposed for evaluating the quality of feature models in Software Product Lines. We applied fuzzy logic theory to aggregate these measures, resulting in new aggregated metrics that could theoretically evaluate various complex aspects of a feature model, such as size, stability, flexibility, and dynamicity.