Machine Learning Engineer / Researcher

Machine learning engineer and researcher.

I work on deployment, enterprise AI consulting, and deep learning research.

in 2026
completed my BSc. at UFES
2 yrs experience
QA automation foundation
AI Research
Deployment, tuning, consulting

Currently at Aumo, I deploy AI models and work on enterprise AI problems. My background includes research on CNNs, LLMs, and SLMs, open-source contribution to OUMI, and two years in QA automation at Intra2net.

This site is still under construction.

Profile

I graduated in March 2026 with a BSc in Computer Science from the Universidade Federal do Espirito Santo (UFES). My main interests are machine learning, deep learning, and the engineering work required to move models from promising experiments into desirable products.

At Aumo, I focus on deploying AI models and consulting on enterprise use cases, turning ambiguous business constraints into concrete ML solutions. I care about whether a model can operate in the real world, not just whether it performs well in isolation.

In parallel, I work as a researcher at the High Performance Computing Laboratory (Laboratório de Computação de Alto Desempenho - LCAD) at UFES, with emphasis on CNNs, LLMs, and SLMs.

As a beliver in the open-source community, I also contributed to OUMI by building a hyperparameter search module for model training workflows.

Last but not least, I spent two years, as part of the Global Talent Program from AIESEC, in QA automation at Intra2net, working on integration and GUI tests. Outside technology, I enjoy canoeing and studying Japanese.

Capabilities

Research Focus

CNNs, LLMs, SLMs, model behavior, training workflows, and practical evaluation.

Applied ML

Deployment, enterprise AI consulting, model tuning, and translating needs into systems.

Technical Skills

Python, Java, C, SQL, Docker, Git, AWS and QA automation.

Languages

Portuguese (native), English (fluent), Japanese (basic) and a bit of German.

Research

Deep learning at LCAD UFES

Research work across CNNs, LLMs, and SLMs, with attention to performance, experimentation, and meaningful application.

Production AI

Aumo deployment and consulting

Deploying AI models and consulting on enterprise AI problems where technical decisions must survive real constraints. Using AWS EC2 and S3 infrastructure.

Quality Assurance

QA automation at Intra2net

Two years of integration and GUI automation work that maintained high quality standards.

For research, ML work, or collaboration, get in touch.