About.

In the rapidly evolving data landscape, I'm wearing a double hat as a full-stack data scientist and data engineer, being a team leader with a results-driven mindset focused on cross-functional collaboration.

From statistical analysis, data engineering, and machine learning (ML) to cloud technologies, I craft products to achieve business goals.
Thanks to my solid software engineering foundations, I've brought value by developing ETL data pipelines, restful APIs, generative AI, deep learning, and computer vision products, following CI/CD processes.
 
My strong research background, proven by multiple AI/ML articles I've published, allows me to methodically dissect a problem to understand it before committing to development. A deep understanding of ML algorithms and data processes makes me bring informed decisions to build valuable products correlated with the business.

With about ten years of experience in the financial, automotive, healthcare, energy, microelectronics, research, and education sectors, I've acquired significant experience solving complex problems and building first-rate products. I promote professional and human growth in the teams I've worked with, always encouraging them to reach the next level. Together we're stronger, delivering faster results to contribute to the organizational prosperity.