Developing and deploying custom NLP pipelines to create AI-powered solutions.● Creation of LLM-powered solutions tailored to specific client requirements● In-depth text data analysis for customized model training and hyperparameter tuning● Development of robust NLP pipelines for efficient data processing.

PhD research financed by a CAPES scholarship.● Implementing a literature review on Large Language Models (LLM), Transfer Learning, and Named entity recognition (NER)● Researching different ways to implement NER using Transfer learning

Graduate research financed by a CAPES scholarship.● Implemented a literature review on preprocessing algorithm recommendations using meta-learning state-of-the-art systems.●Implemented a noise filter algorithm recommendation process capable of suggesting the most appropriate algorithm and its hyperparameters based on a set of meta-features extracted from the dataset.● Taught Data Structures classes teaching students the most famous structures such as List, Stacks Trees, and Graphs and how to use and implement them in Python and C++.● Ministered a Machine learning and Deep Learning course with Huawei partnership covering tools such as Tensorflow, Keras, Pythorch, Scikit-learn, Pandas, and Numpy.

A self-ordering and payment platform created to enhance the customer experience in restaurants.• Collaborated with the development team to design and implement the Menuti system, including front-end and back-end development. Resulting in a multi-platform system across Android, IOS, and Web browsers through the integration of cloud computing;• Designed and managed the company's database, ensuring optimization for its specific needs• Worked following Agile principles, such as Scrum, Daily Meetings, and Sprint planning;• Actively participates in team meetings to discuss the next steps needed for the development team to fulfill the company’s priorities in other areas.

• Aplyed data analysis and visualization to Implement and maintain dashboards summarizing data stored in multiple databases.• Used SQL queries over multiple databases aiming to find irregularities in government contracts.

• Initiated a project analyzing the effects of Fitbit usage and notification over user's health.;• Used python and Fitbit's API.