- Developed models for anomaly detection on vibration data, which focused on analyzing spectrum and RMS time series to identify anomalies and find operational parameters. Those models became new features of the product.- Conducted research and applied digital signal processing techniques for the extraction of relevant features from vibration signals of rotating machines.- Provided support to Application Engineers by performing vibration analysis of machines remotely.

Worked on two projects involving the development of Machine Learning systems to solve practical engineering problems:- Developed computer vision models for detecting defects in solar panels from photographs obtained in the production line. The models performed the tasks of object detection and semantic segmentation, and they were successfully applied for crack detection on the quality checking step of an industrial production line.- Developed probabilistic models for the diagnostics of the structural health of transmission towers based on vibration measurements. The models were used to indicate the structural health of the tower's supporting cables, which naturally degrade due to environmental conditions.- Experienced with signal processing (FFT, STFT, Wavelet) and unsupervised machine learning models (Autoencoders, Hidden Markov Models).

- Developed package specifications for the logistics of local parts, ranging from plastic boxes to metallic structures.- Promoted package design changes for logistics cost reduction.- Planned/tracked KPIs and followed up with suppliers for package production for new vehicles.- Generated reports/dashboards and reported results for senior management.

- Worked in the area of Noise, Vibration & Harshness (NVH), focusing on ensuring optimal vehicle performance and customer comfort.- Conducted tests on vehicles and components to evaluate their vibration and acoustic performance. These tests were performed in both laboratory settings and on test tracks.- Took responsibility for test planning, execution, and reporting results, ensuring accurate and comprehensive documentation of findings.- Experience in signal processing techniques for vibration applications, including FFT, spectrogram and modal analysis.