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I am a dedicated Electrical and Computer Engineering MSc student with a passion for computer vision and AI applications. Currently, I research innovative defect detection methods for photovoltaic modules using aerial inspections, combining visual and thermal imaging with state-of-the-art object detection models. I have experience in dataset curation, model training, and practical applications of AI frameworks like PyTorch and Ultralytics. My skill set spans embedded systems, distributed computing, and software engineering, complemented by practical projects ranging from machine learning predictions to embedded system game development. I am enthusiastic about solving real-world engineering problems with advanced technologies and continuously expanding my expertise in AI and computer vision.…I am a dedicated Electrical and Computer Engineering MSc student with a passion for computer vision and AI applications. Currently, I research innovative defect detection methods for photovoltaic modules using aerial inspections, combining visual and thermal imaging with state-of-the-art object detection models. I have experience in dataset curation, model training, and practical applications of AI frameworks like PyTorch and Ultralytics. My skill set spans embedded systems, distributed computing, and software engineering, complemented by practical projects ranging from machine learning predictions to embedded system game development. I am enthusiastic about solving real-world engineering problems with advanced technologies and continuously expanding my expertise in AI and computer vision.

Tiago Sousa

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I am a dedicated Electrical and Computer Engineering MSc student with a passion for computer vision and AI applications. Currently, I research innovative defect detection methods for photovoltaic modules using aerial inspections, combining visual and thermal imaging with state-of-the-art object detection models. I have experience in dataset curation, model training, and practical applications of AI frameworks like PyTorch and Ultralytics. My skill set spans embedded systems, distributed computing, and software engineering, complemented by practical projects ranging from machine learning predictions to embedded system game development. I am enthusiastic about solving real-world engineering problems with advanced technologies and continuously expanding my expertise in AI and computer vision.…I am a dedicated Electrical and Computer Engineering MSc student with a passion for computer vision and AI applications. Currently, I research innovative defect detection methods for photovoltaic modules using aerial inspections, combining visual and thermal imaging with state-of-the-art object detection models. I have experience in dataset curation, model training, and practical applications of AI frameworks like PyTorch and Ultralytics. My skill set spans embedded systems, distributed computing, and software engineering, complemented by practical projects ranging from machine learning predictions to embedded system game development. I am enthusiastic about solving real-world engineering problems with advanced technologies and continuously expanding my expertise in AI and computer vision.

Available to hire

I am a dedicated Electrical and Computer Engineering MSc student with a passion for computer vision and AI applications. Currently, I research innovative defect detection methods for photovoltaic modules using aerial inspections, combining visual and thermal imaging with state-of-the-art object detection models. I have experience in dataset curation, model training, and practical applications of AI frameworks like PyTorch and Ultralytics.

My skill set spans embedded systems, distributed computing, and software engineering, complemented by practical projects ranging from machine learning predictions to embedded system game development. I am enthusiastic about solving real-world engineering problems with advanced technologies and continuously expanding my expertise in AI and computer vision.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Intermediate

Language

Portuguese

Fluent

English

Fluent

Spanish; Castilian

Intermediate

French

Beginner

Work Experience

Computer Vision Researcher at Instituto de Engenharia de Sistemas e Computadores, Tecnologia e Ciência – MOTUS Robotics

May 1, 2025 - August 21, 2025

Conducted research on anomaly detection for photovoltaic (PV) modules using multi-modal data fusion in aerial inspections. Curated and manually labeled a UAV-based PV inspection dataset with over 120,000 objects using CVAT. Developed an early fusion framework combining visual and thermal images and implemented a framework for training and evaluating object detection AI models including RT-DETR and YOLO using PyTorch, Ultralytics, Albumentations, and OpenCV. Achieved an mAP@50 of 94% for defect detection across six defect categories and PV panels.

Computer Vision Researcher at Instituto de Engenharia de Sistemas e Computadores, Tecnologia e Ciência – MOTUS Robotics

May 1, 2025 - August 21, 2025

Conducted research on anomaly detection in photovoltaic (PV) modules using multimodal data fusion from UAV aerial inspections. Curated and manually labeled a large dataset with over 120,000 objects for PV panel defect detection using CVAT. Developed early fusion frameworks for combining visual and thermal imagery. Implemented and validated multiple state-of-the-art object detection AI models including RT-DETR and YOLO using PyTorch, Ultralytics, Albumentations, and OpenCV. Achieved a mean average precision (mAP@50) of 94% detecting six types of defects and panels themselves, contributing to advancing PV module maintenance through AI.