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.
Subject: Reinforcement Learning of Context Models for Ubiquitous Computing
Details and Extracurriculars
Co-financed by CNRS and INRIA, in the PRIMA group of the LIG laboratory under the supervision of Pr. James Crowley and Pr. Patrick Reignier.
Elaborated an approach to learn user preferences in a complex ubiquitous system and developed a distributed prototype dealing with a dynamic environment. Addressed difficulties coming from working with a real-world problem.
Published 7 papers including 2 book chapters and 1 journal article.
