ESIEE Paris
Engineering studies in Computer Science covering software engineering, algorithms, operating systems, databases, networking and computer systems.
Software Engineer
I build full-stack applications and 3D tools, from data to interface.
Work-study engineer at SNCF · open to opportunities
Web application built for my father’s stringing workshop to centralize stringing jobs, payments, racquet returns and stock tracking.
SNCF IoT Monitoring PlatformInternal platform / Full-stack engineeringSNCFNode.js · Express · AngularInternal IoT monitoring platform for visualizing telemetry data, configuring alerts, analyzing anomalies and generating reports.
Budgeting tool for freelancers: CSV and OFX statement import, a REST API and a spending overview, deployed in containers on a VPS.
Geometric ModelingMesh processing / C++C++ · OpenGL · CMakeC++ 3D mesh-processing project covering half-edge structures, triangulation, mesh simplification and Catmull-Clark subdivision.
Spatial Portfolio ExperienceInteractive web / 3D systemsNext.js · React · TypeScriptA bilingual Next.js portfolio combining one shared WebGL scene, scroll-driven orbital navigation, procedural planet materials and an accessible semantic interface.
Atelier Cordage, 1 / 6
01 / 06
Web application built for my father’s stringing workshop to centralize stringing jobs, payments, racquet returns and stock tracking.
Workshop management app for racquet stringersNext.js · React · Tailwind CSS
I am an MEng computer science student at ESIEE Paris, on the 3D Engineering and Media Technology track, and a work-study engineer at SNCF since 2024.
My work spans backend and API development, data visualisation and real-time 3D rendering: a full-stack IoT monitoring platform, signal classification with a convolutional neural network, and OpenGL rendering engines in C++.
Engineering studies in Computer Science covering software engineering, algorithms, operating systems, databases, networking and computer systems.
Worked on real-time signal classification using a convolutional neural network, along with statistical and machine-learning analysis of physical parameters.
Development of an internal IoT monitoring platform spanning backend, frontend, data processing, alerting, reporting, deployment and AI-assisted features.
International academic semester at Heriot-Watt University Malaysia as part of the engineering degree.
For a project, a work-study position, or simply to talk about 3D engineering and data systems.
tom.wambeke23@gmail.com