Thúlio N.AI Engineer
Skills
An accomplished AI Engineer with a Bachelor's degree in Control and Automation Engineering, possessing significant expertise in robotics, computer vision, and deep learning. Proficient in a diverse range of technologies including Python, OpenCV, PyTorch, Linux, and C++, with substantial experience in mobile robotics and Agile methodologies. Demonstrated effectiveness in training transformer models for advanced applications in vegetation interference detection and developing innovative solutions for traffic violation detection, utilizing state-of-the-art techniques such as YOLOv8 and Docker-based microservices. Previous roles involved the design and implementation of face detection APIs and machine learning models for mobile applications, evidencing strong capabilities in both backend and mobile development environments.
Artificial Intelligence Engineer
3/1/2023 - 7/1/2024
Trained transformer models to identify vegetation interference on energy distribution wires by segmenting imagery and point clouds. Translated an application from C++ to Python for virtual camera creation, aiding in dataset generation. Developed a model for region of interest filtering on satellite images using cloud segmentation and built a relevant dataset. Implemented a traffic violation detection system leveraging a YOLOv8 model with geolocation capabilities and maintained the deployed microservice.Artificial Intelligence Engineer
5/1/2022 - 2/1/2023
Conducted product maintenance and documentation for a face detection and recognition API, ensuring its operational effectiveness.Artificial Intelligence Engineer
2/1/2022 - 4/1/2022
Addressed requests for computer vision enhancements for a security product by temporarily developing features in Python and Android. Created a proof of concept that utilized a model trained on a dataset to suggest deletions of inappropriate images on users' devices, thus improving user experience.Artificial Intelligence Engineer
7/1/2021 - 1/1/2022
Contributed to the development of a new API after the previous project's completion, focusing on enhancing anti-spoofing algorithms. Engaged in co-developing an active anti-spoofing solution and investigated ensemble methods to improve accuracy, utilizing short instructional videos to enhance the system's effectiveness.
Mechatronics, Robotics and Control and Automation Engineering at University of Brasília
2014 - 2019
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