Owner and CTO at AevoTech, which is a software company focused on software quality. All employees are highly qualified and trained with the state-of-art technology available. Agile methodologies and tools drive the development environment and, combined to our teams solid expertise, guarantee reliable results. The company products and services range from mobile applications integrated to cloud services to mission-critical systems, mostly for oil & gas and energy markets. Some products are… Show more Owner and CTO at AevoTech, which is a software company focused on software quality. All employees are highly qualified and trained with the state-of-art technology available. Agile methodologies and tools drive the development environment and, combined to our teams solid expertise, guarantee reliable results. The company products and services range from mobile applications integrated to cloud services to mission-critical systems, mostly for oil & gas and energy markets. Some products are exemplified in this profile.The company also provides an infra-structure to assist startups during the initial cycles of development. The business model has focus on solving the arising problems found in emerging economies, optimizing shareholder's investments and reducing their risk. Show less

Instanteaser produces high-impact customized videos in motion design at scale, through a streamlined and performance-oriented process.

Teaching Scalable Computing (CS) and Design and Analysis of Algorithms (PAA) in the Data Science course at EMAp (School of Applied Mathematics).

Teaching Informational Modeling at the Business Analytics MBA.

Even software systems developed with strict quality control may expect failures during its lifetime. When a failure is observed in a production environment the maintainer is responsible for diagnosing the cause and eventually removing it. However, considering a critical service this might demand too long a time to complete, hence, if possible, the failure signature should be identified in order to generate a recovery mechanism to automatically detect and handle future occurrences until a proper… Show more Even software systems developed with strict quality control may expect failures during its lifetime. When a failure is observed in a production environment the maintainer is responsible for diagnosing the cause and eventually removing it. However, considering a critical service this might demand too long a time to complete, hence, if possible, the failure signature should be identified in order to generate a recovery mechanism to automatically detect and handle future occurrences until a proper correction can be made. To be effective, the tasks of diagnosing and recovery implementation require detailed information about the failed execution. Failures that occur during the test phase run in a controlled environment, allow adding specific code instrumentation and usually can be replicated, making it easier to study the unexpected behavior. However, failures that occur in the production environment are limited to the information present in the first occurrence of the failure. But run time failures are obviously unexpected, hence run time data must be gathered systematically to allow detecting and diagnosing. Thus there is a balance between the detail of information inserted as instrumentation and the system performance: standard logging techniques usually present low impact on performance, but carry insufficient information about the execution; while tracing techniques can record precise and detailed information, however are impracticable for a production environment. The thesis proposes a novel hybrid approach for recording and extracting system’s runtime information. The solution is based on events enriched with contextual properties about the current state of the execution, which enable the development of a diagnosis tool capable of filtering events based on the maintainer’s perspective of interest. Furthermore, an approach using these enriched events has been developed that allows detecting and diagnosing failures at runtime aiming at recovery. Show less

Teacher Assistant in the Software Testing and Quality course.

Teacher Assistant in the Object Oriented Programming course.

Worked in more than 8 mission-critical systems developing sophisticated solutions for flexibility and quality assurance. These softwares systems are still in use for pipeline and hull inspections, using PIGs, GIPs and hybrid ROVs to scan the equipments.

Monitor in the Data Structure course.

Assisted in the development of two mission-critical and fault-tolerant systems for pipeline, riser and ship hull inspection. The main work was an evolution of a system to support ultrasound inspection using a ROV equipment.