Based in Belgium. Originally from Franca/SP, Brazil.

I've studied and worked in several places, each one preemptively honing how I think and work.

Native Portuguese speaker. Fluent with full professional proficiency in English and French.

Python, SQL, and VBA are my top languages, earned through years of study and projects. Bash isn't my strongest suit, but work gave me a solid command. I also ventured into full-stack development, which gave me a good working knowledge of TypeScript, HTML, and CSS.

Mathematical quandaries, graph theory, and reinforcement learning appeal to me most in my data journey.

Otherwise I read or listen to podcasts about new technologies, economics, or philosophy. Occasionally training for one or another endurance event.

I moved from dashboards to analytical tool development. I used statistical methods to predict service traffic and optimize allocation of (both physical and logical) network resources.

Later, as performance triage leader, I designed and implemented a complete data solution with a clear guideline for explanatory data analysis to evaluate root causes of degradation. That helped the Quality of Service (QoS) department coalesce other operational teams and mitigate network impact on end users.

Advances in data science and data platform technologies led me back to academia. I analyzed the certain gap in my theorethical foundations and decided to pivot, strengthening my mathematics and statistics for data engineering. I studied computer science principles, algorithm complexity, and cybersecurity. I also explored information theory, pattern mining, machine learning, deep learning, and AI.

Then, as a Business Architecture Senior Analyst, I worked between clients and developers. I elicited requirements, wrote functional specifications, and facilitated discussions to refine solutions.

But the most exciting part was translating requests into technical specifications, taking into account the project architecture and code base.

Using Agile practices, I wrote user stories, defined acceptance criteria, and validated deliverables sprint by sprint. I also worked on SQL views to deliver business insights. Bridging business and technical teams was the core of the role.

The DevOps role came from a choice. I saw a manual entries retransmission process and volunteered. I found the challenge interesting and knew I could help.

Each transmission rejection had a code and a required fix. I built a system that read the logs, applied the fixes, and retransmitted automatically. It also tracked new cases for solution analysis and handling integration. The daily work became seamless.

I wrote end to end tests with Cypress for dedicated and high level testings to avoid version regression. The project involved scripting mock data for different scenarios. I used GitLab CI/CD to run the tests, save artifacts, and generate Mochawesome reports.

As a Solutions Architect, I work across sales and delivery. I listen to business needs, create roadmaps, and help keep everyone aligned. I also focus on quality, risk, and non‑functional requirements like security and scalability. Coaching teams to deliver consistently is part of the role.

I earned a MSc in Data Science Engineering at the University Catholic of Louvain. I built fundamental tools and algorithms from scratch, plus advanced projects like decision making systems. My undergraduate degree is in Electrical Engineering from São Paulo State University (UNESP), where I built a strong foundation in mathematics, programming and problem-solving.

I also hold an MBA in Finance, Controlling and Auditing from FGV, which gave me a broader understanding of financial management.