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@wissamboussella
Machine learning and software engineer specializing in embedded AI deployment and performance optimization.
I am a machine learning and software engineer focused on training, deploying, and optimizing deep learning models for constrained systems. My background spans signal processing, 3D rendering/reconstruction, and low-level systems integration.
At CEA I contributed to an open-source core project in advanced C++, exported complex ONNX models with custom nodes, and developed ultra-low precision C/C++ kernels for 4-bit quantized networks up to 60M parameters. I also generated compilable C via Python/Jinja2 and validated millisecond-level inference on STM32 hardware.
Earlier, I enhanced 2D CAD tooling by integrating Bezier curve support into a simulation product, implementing robust backend geometry handling and GUI integration. I also completed research work applying self-supervised learning techniques with OpenCV and PyTorch.
I build reproducible, test-driven systems—authoring 50+ unit tests and Docker CI/CD—and have delivered embedded deployments from training and quantization to automated ONNX-to-C conversion and hardware optimization.
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Work history, roles, and key accomplishments
CEA
Nov 2023 - Jun 2025 (1 year 7 months)
Exported complex ONNX models with custom nodes for vision clients, developed C/C++ kernels for ultra-low-precision quantized models up to 60M parameters, and generated compilable C for hardware integration to achieve millisecond-level inference on STM32.
CEA
Apr 2023 - Sep 2023 (5 months)
Integrated a Bezier curve drawing tool into the 2D CAD module of the CIVA simulator, implementing C++ backend geometry handling and Java Swing GUI integration to support curve intersections and editing.
LaBri
Jun 2022 - Aug 2022 (2 months)
Worked on the GESHAEM self-supervised learning project, implementing data processing and analysis pipelines using OpenCV and PyTorch to support research experiments.
Degrees, certifications, and relevant coursework
Master of Science, Computer Vision
2021 - 2023
Grade: 3/4
Master's in Computer Vision focusing on image processing, deep learning, 3D rendering/reconstruction, AR/VR, and sound synthesis; participated in the Numerics IoT research program.
Bachelor of Science, Computer Science
2018 - 2021
Grade: 3/4
Bachelor's in Computer Science covering algorithms, mathematics, operating systems, and foundational software engineering concepts.
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