PhD and post-doctoral studies on Machine Learning and Optimization techniques for workflow execution over Grid and Cloud environments.

My responsibilities include the design and development of multi-objective algorithms for solving problems on the domains of Cloud workflow autoscaling and Automated Software Engineering.

My responsibilities include the design and development of multi-objective algorithms for solving problems on the domains of Cloud workflow autoscaling and Automated Software Engineering.

Use of Machine Learning for generating performance models of workflow applications.

Workflow scheduling on Grid environments using search-based methods.Semi-automatic construction of workflow applications using ontologies.

Development of web applications for analytical geometry problems in 3D.

Paid internships. The work was focused in the development of a framework for the management of organization workflows. Such kind of workflows describe procedures and processes of and organization. The framework contemplated: tasks of creation, modification and removal, processes' monitoring, a notification system and audit records.

Development of a management system for medical centres. Management of doctors, schedules, medical insurances, etc.

Development of a SCADA system for wine production.