I am a Computer Scientist student specializing in artificial intelligence and machine learning, with solid experience in developing ML models using frameworks such as PyTorch and Keras. My expertise includes techniques like Transfer Learning, Fine-Tuning, and Retrieval-Augmented Generation (RAG).
I am capable of designing and implementing various neural network architectures, including Convolutional Neural Networks (CNNs), Multilayer Perceptrons (MLPs), 3D Convolutional Networks (CONV3D), Transformers, and Vision Transformers (ViTs).
I also have experience deploying and integrating AI models through cloud services—primarily Microsoft Azure—using tools such as Cognitive Services Pipelines, Form Recognizer, Azure Automated Machine Learning, Azure Designer, RAG workflows, chatbots, and other AI-powered solutions.
Additionally, I possess strong knowledge in data handling and related tools, including SQL, Python, data extraction and preprocessing, normalization, Albumentations, SciPy, and other components essential for end-to-end machine learning workflows.
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2D Image Regression/Object Detection
Vision Gauge - U-tube manometer detection/reader
Transfer Learning, Albumentations, PyTorch, CNN, Residual Blocks, Finetunning, ETL, OpenCV |
2D Image Classification
Sugarcane Leaf Disease Predictor
FCNN, CBAM, Xception, Residual Blocks, TensorFlow, OpenCV |
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3D Image Classification
RSNA Intracranial Aneurysm Detection
Transfer Learning, 3D CNN, Multilabel Classification, K-Fold, Keras, OpenCV |
MLP Binary Classification
Modelo de Classificação Binária para Previsão de Retorno ao Presencial
Fully Connected Neural Network, Dropout, ReLU, TensorFlow, Keras |
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CONTROLE DE ESTUDOS
Software para Controle de Estudos
Python, Kivy, KivyMD, HTML, TeX, kvlang |
CONTROLE DE ESTOQUE
Software para Controle de Estoque
Python, Kivy, KivyMD, HTML, TeX, kvlang |
- Banco de Dados E-commerce
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Santos, C. S. dos, Arima, M. N., & Almeida, M. A. D. (2025). Desenvolvimento de simulador de rede de dutos e validação experimental em bancada de teste. Caderno Pedagógico, v. 22 (n. 12), E21100, Qualis A2. DOI: 10.54033 |