Codee
Rosa Vázquez Rogel has a diverse work experience spanning multiple industries. Rosa is currently the CFO & Co-founder of Appentra, a Deep Tech company specializing in AI-powered static code analysis. Their role focuses on utilizing automation and AI to enhance software performance. Prior to this, they worked as a Mentor for TURISLAB GALICIA, where they guided the National VI project aimed at promoting tourism resources. Additionally, Rosa co-founded Auden Consultores S.L.L., a SME business consultancy firm, where they handled various responsibilities such as customer development, training projects, recruitment, and financial management. Rosa also co-founded Abside RRHH ETT S.A., a temporary employment agency, where they served as the manager of the headquarters.
Rosa Vázquez Rogel graduated in International trade from a private institution. Rosa also attended law school but did not complete their degree. Additionally, they pursued studies in Coaching & Life Management at a private institution.
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Codee
In the software world, new technologies have recently put on the hands of companies and developers highly powerful tools which involve a leap in computing capabilities. First, heterogeneous multicore systems have become small and affordable supercomputers. Second, Artificial Intelligence, Machine Learning, Deep Learning, and big data arerevolutionizing entire economic sectors. These powerful tools were up until now only accessible to a minority of organizations with massive resources but finally they have become mainstream. However, to take advantage of these powerful capabilities, companies need to adopt the computing technologies created for years in (HPC) market, particularly parallel computing. PARALLELWARE ANALYZER is the most complete and fast software aimed to enable developers to overcome the complexity of parallel programming. Appentra is a Deep Tech global company that delivers products based on the Parallelware technology, a unique approach to static code analysis specialized in concurrency and parallelism. Our aim is to makeparallel programming easier, enabling everyone to make the best use of parallel computing hardware from the multi-cores in a laptop to the fastest supercomputers.