Objective: A position teaching computer science, specializing in teaching computer languages.
Summary:
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.
Teaching and Research Assistant (ATER)
UPMF/INRIA
October 2008
to June 2010
Full-time
Grenoble
France
- Teaching IT.
- Leading research in Ambient Intelligence.
Detailed Description
- Taught IT at Bachelor’s level: a total of over 330 hours including algorithmics, programming (Java, C++, C, Ada), object oriented systems design and distributed architectures. Ran the class “Programming by components”. Engaged in fruitful collaboration with other members of the teaching staff. Prepared examination subjects, lectures and practical projects. Graded, supervised practical work, lectured.
- Lead research in Ambient Intelligence. Co-supervised a master student on the subject of genetic learning of neural networks for situation recognition.
- Developed an approach to recognize high-level user activities on a computer (such as writing paper, sorting pictures, working) using recurrent neural networks genetically learned from user-labeled training data consisting in keyboard and mouse events associated with an activity label.
- Technical environment: Java, OSGi, iPOJO, Maven, Hibernate, Castor, Eclipse, NetBeans, JOnAS.
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