Master Degree in Computer Science with Specialization in Data Science

• Jan 2021 - Present

During my Master's Degree in Computer Science with a specialization in Data Science, I focused on the emerging field of Digital Phenotyping, which leverages data provided by smartwatches and wearables that passively sense various aspects of an individual's behavior. This cutting-edge technology opens up new opportunities for understanding and predicting mental health conditions. As part of my thesis, I was involved in research on Digital Phenotyping to predict mental health using advanced machine learning and deep learning techniques. I collaborated with a team that designed and implemented a comprehensive framework for preprocessing and analyzing the collected data. Our aim was to uncover meaningful patterns and relationships that could contribute to early detection and personalized interventions. In order to achieve accurate predictions, we applied a range of sophisticated methods. We started with Linear Regression with regularization, which allowed us to model the relationships between multiple features and mental health indicators while mitigating the risk of overfitting. This approach provided valuable insights into the predictive power of individual variables. To capture more complex patterns, we employed a fully connected artificial neural network. By leveraging deep learning, we trained a model that could identify intricate associations between different data streams and mental health outcomes. This method significantly improved the predictive accuracy and revealed non-linear relationships that were not easily discernible through traditional statistical approaches. Furthermore, we explored the temporal aspect of the data by utilizing Long Short-Term Memory (LSTM) networks. These recurrent neural networks enabled us to model the sequence of observations and capture the dynamics of mental health over time. By incorporating memory cells and forget gates, the LSTM architecture effectively learned dependencies and improved the prediction performance. Show less

MIT Visiting Student - DIgital Phenotyping using Machine Learning and Deep Learning

• Jan 2023 - May 2023

Software Architect

• Sep 2018 - Jan 2021

Design and implement the model to manage the ecosystem of APIs in the banking sector to expose business products in an agile way to the market, taking care of architecture, security, standards, monetization, and best practices. ● Design and develop automation delivery tools to improve time and effort for the development team in each phase of API Lifecycle. ● Sessions with stakeholders to align business products according to the strategy of APIs. ● Document the organization's standards, practices, and guidelines to design and develop APIs. ● API Deployment in different environments with API Management platform. Show less

Senior Software Engineer

• Sep 2017 - Sep 2018

Design and development of microservices architecture to achieve requirements forbusiness insurance carriers using stack technology of cloud ecosystem.● Design of architectural blueprints with archetypes to API's RESTful services.● Data modeling oriented to schema documental database.● Configuration Management according to 12-factor apps.● Scrum framework and agile methodologies to manage the project.● CI/CD pipelines with tools like Jenkins, Sonar, and deployment in the OnpenShift platform. Show less

Senior Software Engineer

• Jan 2015 - Sep 2017

• Technical leader,responsible of achieving Non-Functional-Requirements. • Develop of modular components to encapsulate functionality to reduce the time of coding for the development team. • Implement and supervise Integration Continuous to achieve Service Level Agreement, mentoring the development team to use best practices. • Leading and training development teams responsible of implementing activities and release systems. • Refactoring legacy code to solve problems of efferent and afferent coupling using dependency inversion principle. Show less

Proficiency Software Engineer

• Jan 2013 - Jan 2015

Responsibilities: • Design core components services to calculate taxes in order to achieve requirements of high performance. • Develop modular services for backend to be consume through web services and EJB. • Develop Back-End to process large amount of payments using Spring Batch and implementing the coordination through an EJB Timer WebLogic. Managing of transaction strategies by chunks. • Mentoring the development team with maven and archetypes to structure a project. • Design and modeling of database schemes based on the functional requirements. • Design and develop SOAP Web Services. Show less

Junior Software Engineer

• Jan 2012 - Dec 2012

Responsibilities: • Develop web pages with Struts 2 and Stripes , using JQuery to make simple validations of form. • JUnit testing of code. • Creation of classes for Persistence Layer using ORM Hibernate. • Generate documentation for technical reviews. Responsibilities: • Develop web pages with Struts 2 and Stripes , using JQuery to make simple validations of form. • JUnit testing of code. • Creation of classes for Persistence Layer using ORM Hibernate. • Generate documentation for technical reviews.