- Developed and trained machine learning models for computer vision tasks focused on satellite and aerial imagery.- Built data preprocessing/postprocessing pipelines, including normalization, morphology operations, and geometry processing for shapefiles.- Implemented and trained CNN models for segmentation (UNet, U2Net), image generation (diffusion models, GANs), and time-series classificationusing transformers.- Created Docker images for production and version-controlled projects using Git.- Authored technical reviews and survey reports on computer vision (CV) and natural language processing (NLP) architectures.

Researching, making agent-based simulations and analyzing their relation to the equations models which include:- Programming/modeling with GAMA and Python, experimenting with model by running simulations- Formulize and predict the behavior of the models and confirm it with various experiments followed by data analysis- Discussion and presentation in English