Flor De Bruyne

At Exsolvæ, I work as a data engineer, part of a brilliant team of problem solvers tackling complex data challenges with smart, scalable solutions 💡. We combine technology and strategy to help our clients extract real value from their data.

Currently, I'm collaborating with the Agency for Roads and Traffic (AWV), focusing on building robust data pipelines and enabling better decision-making through clean, reliable, and accessible data 🚧📊. It's all about creating systems that last and insights that matter.

• Developed data preprocessing steps to identify and handle duplicate data (similar images with slight changes).

• Conducted research to identify new technologies in NR-IQA, image classification, image segmentation.

• Performed benchmarking on NVIDIA Jetson devices.

• Researched and evaluated image classification and segmentation models for deployment in a production environment.

• Developed data preprocessing pipelines with Python to identify and eliminate duplicate images, improving dataset quality and reducing model training noise.

• Optimized model inference performance by conducting benchmarking experiments on NVIDIA Jetson devices, enhancing the efficiency of edge AI deployments.

• Focused on deploying computer vision models in resource-constrained environments, combining model optimization and data quality improvements for production scalability.