Tomas Alesandro Poeta

Been working on training, and applying model into the enterprise process:

Python

Pytorch

YOLO, Faster R-CNN, Detr

FastAPI

OpenCV

Labeled a medical dataset of medical images using CVAT.ai and by means of Python implemented AI models like U-Net for semantic segmentation. This work established the baseline for future research and formed the foundation of my Master's thesis.

Co-leading the creation and implementation of a scalable Manual QA testing suite for the largest Europe cinema operator company. Initially focused on system analysis, test case design, and manual execution for cinema specific modules and web. Advanced to coordinating the operational tasks of the Spanish/Portuguese UAT team on the website, having to assign tasks, supporting team members during testing, and report status/results of executions.