• Architecture of the new video surveillance application based on the Microsoft Azure platform• REST• SCRUM/Agile• Implementation of the security and fault tolerance behaviors• Implementation of a new web video streaming core• Adaptive core based on dynamic condition of a web environment• Silverlight based h264 video decoding clientTechnologies: Microsoft Azure, C#, SQL, WPF/Silverlight, Parallel computing

Software manager of the SecurityCenter team• 6 development teams, 35 programmers, 2 architects• SCRUM/Agile • Design of the new application platform supporting Genetec’s video, access control and license plate recognition product line. The main characteristics of this platform are:• More than 6 million line of code in C#• Massively distributed architecture• Fault tolerant and advance detection of failure• Parallel computing (CCR)

Designed the architecture of the next generation platform of the Genetec product line (Omnicast and Synergis). The goal of this new architecture was to support city wide surveillance size project consisting of millions of entities across hundreds of servers.Team leader of a team consisted of 5 developers and 2 QA that created Synergis, the access control solution of Genetec which was the first product build on top of the new architecture.Implemented the core service responsible of handling the system configurations, event routing and alarm management. The key concepts of this service are:• Transactional & stateless design• Multi process and multi threaded design to provide high availability and fault tolerance• C# 2.0 & 3.0• SQL 2005

Team leader of the “Core” team. The team responsibilities were:• Design and conception of the core services (directory, virtual matrix, watchdog, fail over service) of Omnicast video surveillance software• Design and conception of the internal and external SDK of Omnicast• Third party integration platform • Team of 5 software engineers. Technologies: C++, COM+/COM/DCOM, SQL, ATL, MFC/WTL/Win32, TCP/IP, HTML/ASP, Visual Basic

Design and implemented the VCE service ( Voice Call Engine ). This service was the core of all the voice recognition applications of the department. The goal of the VCE was to provide an abstraction to the appliction developpers of the resources needed to build an telephony base voice recognition application.Technologies used:C++, COM/DCOM, MFC, ATL, threads