Topology and Computer Vision research were my gateway to the world of parallel computing, embeded systems, IoT and other cool stuff and top of the line technologies and applications. Currently I'm working as lead engenieer in the Advance Parallel Computing Lab at Atos, and pushing on my brand new Industrial IoT platform.
I consider myself an enthusiastic of Computer Science, and grow my passion building applications since more than ten years. The wide range of projects in which I have taken part during this time have led me to know many different develop environments, requirements and technologies. Therefore I can say nowadays that I am a professional with a high ability to adapt to new challenges.
Working on H2020 with HPCs and parallel computing applications.
Leading the technical group, being responsible of the products and technologies the company is developing as well as the technologies involved on its administration. Two main lines of working: 1. SENSOR MONITORING: Qmonitor, a general purpose SCADA with Heineken as its main client. Within the frame of the “Internet of Things”, the goal of this client-server application is to provide a layer between the sensors/controllers located inside a facility (factories, machinery, fields, fish farms, etc.), and the visualization of the data from the web. This way the user can monitor the data (including alarms), as well as control and configure the devices remotely. 2. COMPUTER VISION: LINDA, a framework of object selection. This framework have been used successfully in the first crayfish selection machine of the world located in Isla Mayor (Seville, Spain).
I was responsible for the research and development of compression techniques to be applied on massive bone “alografts”, prosthesis and synthetic implant virtual models, as well as surgical planning. I designed an original compression system for 3D medical images (triangular meshes), leading the team responsible for its implementation, tests and establishment. Nowadays it is the standard compression method for this type of images in the hospital. The project involved eight different companies and organizations (FEDER funds).
I combined my work as a researcher with teaching computer architecture to second grade students, and C classes to first grade ones, in the Computer Architecture and Technology department until June 2011. Then I taught artificial ingelligence to fourth grade students, in the Computational Sciences and Artificial Ingelligence department.
I was researching and designing different hardware algorithms to do topological processing and analysis of images on FPGAs using the membrane computing paradigm, at the Computational Applied Topology and Applied Mathematics research group.
During my studies I obtained three grants to work within a development team at the University of Seville, where I took part on the design and implementation of three projects requested by different companies (a WEBSITE for disabled people relatives; two WEB APPLICATIONS for Doñana Biological Station; and a STREAMING SYSTEM similar to youtube). In this period of time I could put in practice all that I was learning in my degree, working as a team.