Collaborated on the development of automated testing scripts, increasing software reliability and stability. Worked with multifunctional teams to identify system vulnerabilities and optimize test coverage, reducing errors detected in production by 35%. Contributed to the continuous improvement of the testing cycle, streamlining validation processes and ensuring higher quality of the final product.

Developed a predictive model with Machine Learning (Random Forest, SVM) in Python and TensorFlow, achieving 85% accuracy. Automated clinical data processing, reducing evaluation times by 30%. Generated visual reports in Power BI that optimized interpretation and clinical decision-making.

Managed the IT infrastructure, ensuring high availability and security of network and server systems. Provided technical support to end-users, resolving incidents related to hardware, software, and network connectivity. Led IT training for staff on best practices and cybersecurity awareness.