Sid Ali Tifoura

R&D Engineer in computer vision and PhD student specializing in 3D data, LiDAR, and geospatial artificial intelligence, I help companies transform their complex data into reliable, measurable, and directly actionable methods.

My areas of expertise:

• 3D point cloud and LiDAR processing and analysis;

• ICP registration and multi-temporal data comparison;

• Change, anomaly, and deformation detection;

• DEM/DTM generation and analysis;

• LiDAR, image, and geospatial data fusion;

• Development and evaluation of computer vision and machine learning algorithms;

• Prototype design, Python pipelines, and visualization tools;

• Methodological audit, experimental validation, and technical documentation.

I can assist with a specific need, a technical audit, a proof of concept, the improvement of an existing algorithm, or the development of a complete processing chain.

Key Technologies: Python, Open3D, NumPy, Pandas, scikit-learn, PyTorch, CloudCompare, Git, and Dash.

My approach combines scientific rigor and operational efficiency: clearly defined objectives, quantified results, reproducible code, and transparent communication. I am particularly interested in projects related to infrastructure, mobility, mapping, inspection, digital twins, and 3D data analysis.