Gabriel Ayres Email & Phone Number

Researching state-of-the-art Generative Diffusion Models to enhance the generation of medical tomosynthesis images involves solving Partial and Stochastic Differential Equations (PDEs and SDEs) to refine the model. Additionally, we apply deep learning and concepts from Physics-Informed Neural Networks (PINNs). This collaborative project is conducted in partnership with the University of Pennsylvania and USP-SP to advance these methodologies.

I have developed a Reinforcement Learning project that gamifies the food chain process, employing genetic algorithms, DQN (Deep Q-Network), and actor-critic methods.

Developed a News Scraper and Data Processor, project provides a framework for scraping news articles from various gaming companies' websites and processing the scraped data. It leverages Selenium, BeautifulSoup, and custom scraping modules to gather articles and store them in a format suitable for further analysis. The processed data can then be reviewed using a language model and exported to Excel.

Developed an auth API with my team that authenticate Document images via OCR using several conditions to do it. Using Python, Flask, PostgresSQL, MongoDB, Docker, Docker-compose and Clean Architecture principles.

Bacharelado, Computer Engineering

Education record