Experience
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ML Engineer (Master Thesis) β Volvo Car Body Components (VCBC), Sweden
Sept 2024
Built a deep learning-based computer vision model for defect detection.
Improved model accuracy through preprocessing and optimization.
Collaborated with engineers to integrate the model into production workflow.
Brain Tumor Segmentation β Medical Imaging (UNet, PyTorch)
Personal Project
Developed a UNet-based deep learning model to segment brain tumors from MRI scans.
Built a Streamlit app where users can upload MRI images and view real-time tumor predictions.
Implemented preprocessing, augmentation, and evaluation pipelines (Dice, IoU).
Analyzed failure cases and iteratively improved segmentation accuracy.
summary:
βI built a model that detects tumor regions in MRI scans and shows the results as clear overlays.β
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