Objective: A position teaching computer science, specializing in teaching computer languages. Summary:
Excellent teacher in IT, very appreciated by students, with a talent for clear explanation and presentation.
Committed computer science engineer with extended experience in designing approaches to solve research problems and implement functional end-user applications. As a student, won an award for best internship of the year.
Gifted with people and communication skills, rapid adaptation and learning. Efficient at producing written documents (first author of 8 scientific papers).
Extensive knowledge of machine learning, pervasive computing and computer vision, as well as many tools useful for implementation and design.
Skills include: C++, Java, Scala, Ruby, Ruby on Rails, Qt, QtQuick 2.2, LATEX, OSGi, Java EE 5, Maven, OpenCV, CMake, gdb, SQL among others.
Leading research on the topic "Learning context models for the recognition of scenarios" for the European project CAVIAR.
Detailed Description
Proposed an approach for learning context models for the recognition of scenarios. Developed an automatic method based on Hidden Markov Models for recognizing scenarios in videos given the learned models on training videos. Tested and evaluated the method in different conditions.
Integrated the resulting software as a contribution to the European project CAVIAR, wrote a deliverable and published 1 paper as main author and 1 as co-author.
