Yanis MANSOUR
About
Software Engineer based in Paris, focused on building reliable and scalable software.
I write about software architecture, concurrency, infrastructure, networking, and technical topics I find interesting.
Outside of work, I enjoy swimming, calisthenics, and weightlifting.
Professional experiences
R&D Software Engineer
Serensia is a software company specialized in electronic invoicing.
As part of the Research and Development team, I work on platform related parts of the software in C# : .NET Framework to .NET 8 migration, scalability, licence management, ... etc. A small part of my time is also dedicated to business related parts of the software.
Moreover, I am also in charge of an OpenTelemetry infrastructure containrized with Docker, enclosing Grafana, Prometheus and Jeager
2023 - Today
Microsoft Full Stack Developer
BSD (Bureatique Services Développement) is a consulting software company specialized in the Microsoft ecosystem : Sharepoint, Microsoft 365, Teams, ... etc.
I worked there a Microsoft Full Stack Developer and developed software in C# and React. Additionally, I architected the first company's Business Intelligence framework using PowerBI, endabling data-driven decision making.
I have also acquired a solid infrastructure and networking expertise by being responsible of installing on-premises Sharepoint Server farms.
2020 - 2023
Desctop Application Developer
CSTB (Centre Scientifique et Technique du Bâtiment) is a company that helps construction industry actors by delivering quality certificates.
I was part of a thermal testing team as a Desktop Applications Developer. I worked on developing testing process automation tools in Javascript, VBA and Microsoft Office, in close collaboration with thermal testing technicians
2019 - 2020
Latest projects
Draughts - Computer vision
Developed a computer-vision pipeline to detect draughts moves directly from video footage using histogram back projection, Gaussian mixture models, and Hough transforms.
Running macOS on a Windows PC using QEMU/KVM
Ran macOS on a Windows PC using QEMU/KVM, with GPU passthrough and IOMMU device isolation.
Machine Learning & Search Algorithms
Implementations of classical machine-learning and search algorithms, including K-Means in Scala, IDA* for Blocks World, and PageRank.
Draughts - Computer vision
Developed a computer-vision pipeline to detect draughts moves directly from video footage using histogram back projection, Gaussian mixture models, and Hough transforms.
Running macOS on a Windows PC using QEMU/KVM
Ran macOS on a Windows PC using QEMU/KVM, with GPU passthrough and IOMMU device isolation.
Machine Learning & Search Algorithms
Implementations of classical machine-learning and search algorithms, including K-Means in Scala, IDA* for Blocks World, and PageRank.