Matheus Silva Email & Phone Number

Cambridge, England, United Kingdom

• Evaluation of OCR (Optical Character Recognition) applications.
• Fine-tuning of models such as llama, falcon and gpt.
• Retrieval Augmented Generation (RAG) on a large corpus of text.
• Research on image segmentation and large language models.
• Implementation of face recognition/detection techniques
• Handwritten recognition of old corpus of text

São Paulo, Brasil

• Conducted A/B testing on different recommendation algorithms and techniques and authored a data quality checker using Great Expectations.
• Contributed significantly to the success of the platform through highly praised work on the recommendation system of articles at Globo home.

São Paulo, Brazil

• By utilizing advanced deep learning models, we successfully detected fraudulent modifications in driving license and identity card documents, resulting in an improvement of 30% in accuracy.
• Bug fixes and software optimization through automation and integration, resulting in 20% time savings.
• Highly praised for work on the deep learning-based fraud detection model, which has contributed significantly to the overall success of the company.
• Successfully deployed multiple machine learning models into production environments.

Porto Alegre, Rio Grande Do Sul, Brazil

• Pix Force develops solutions using computer vision technologies, artificial intelligence, and machine learning. #1 Computer Vision and multi-award winning Startup in Brazil.
• Collaboration with cross-functional teams to integrate deep learning models into existing systems and processes.
• Development of models for image segmentation and classification tasks.
• A significant improvement was accomplished in the OCR model. The model’s accuracy was boosted from an initial 70% to a remarkable 95%.

Minas Gerais, Brasil

• This project was supported by a research scholarship provided by the National Council for Scientific and Technological Development in partnership with the private sector and Federal University of Uberlândia.
• Research in Deep Learning and computer vision applied to agricultural images, obtained by unmanned aerial vehicles (UAVs).
• Exploitation of alignment methods for 5-channel images.
• Implementation of style transfer method in order to align the images.
• Publication of a high-impact paper at the end.

Minas Gerais, Brasil

• This Scientific Initiation project was supported by a research scholarship provided by the National Council for Scientific and Technological Development.
• Optimization of data augmentation policies using Bayesian and random methods to train Convolutional Neural Networks (CNNs).
• Image synthesis using Generative Adversarial Networks (GANs).
• All the techniques were applied in the field of medical image analysis.

Minas Gerais, Brasil

• Technical support for computer student users.

Master'S Degree, Computer Science

• Principles of machine learning, including supervised learning, unsupervised learning, and reinforcement learning. It also includes the.

Bachelor'S Degree, Information Systems

During my Information Systems bachelor's degree program, I had a chance to participate in a diverse range of activities, including: •.