Implemented image preprocessing and matrix transformations in Python.
Designed and parallelized the Sobel filter in C with MPI on Dardel (the top supercomputer), employing red-black communication to avoid deadlocks.
Achieved strong parallel efficiency and near-linear speed-up up to 128 processors on images with over 150k pixels.
Applied & Computational Mathematics graduate with expertise in Python, Machine Learning, and Generative AI.
Experienced in fine-tuning LLMs and building large-scale datasets.
Skilled in data preprocessing, feature engineering, and evaluation, with hands-on experience in ML pipelines and real-world projects.
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