Applied Research Engineer with over 9 years of experience leading high-impact digital transformation initiatives in the public sector.

I specialize in natural language processing (NLP), machine learning, and data architecture, combining applied research with robust engineering to build scalable, interoperable, and socially impactful platforms. My work bridges technical excellence with institutional and civic responsibility, delivering data-driven solutions to complex challenges in public health, education, and government transparency.

I integrate NLP and ML techniques to address real-world problems in health informatics. I lead the data strategy, building platforms with Python/Django and modern tools like Elasticsearch and Apache Airflow.

Recognitions: 3x Gold, 3x Silver, 34x Bronze Medals on Kaggle (Google), Finalist - Prêmio Brasil Referência em Dados, and awarded Servidor Destaque at IFS.

I’ve led critical projects such as Pé-de-Meia, academic analytics platforms (BIA), vaccination tracking systems, and education infrastructure (Google Workspace Central), delivering high social value with minimal resources.

I'm passionate about bridging research and engineering to create smart, ethical, and impactful public tech solutions. Let’s connect if you're into applied data science, open innovation, or building a better society with code.