As a cloud Engineer my role involves providing comprehensive support and maintenance for both cloud and on-premises infrastructure. This encompasses a range of tasks that are assigned based on organizational needs and priorities. ● Virtual Machine Management. ● System Patching and Updates. ● Performance Monitoring and Optimization. ● Backup and Recovery. ● Alert and Incident Management. ● Cross-Platform Coordination.

For my final year project, I developed an image classification system focused on handling highly noise-corrupted images. The project involved using advanced machine learning techniques to classify images affected by various noise patterns, including Additive White Gaussian Noise (AWGN), Salt & Pepper Noise, and Mixed Noise. The methodology incorporated the following components: ● Support Vector Machine (SVM) Classifier: Utilized for its robustness in classification tasks, particularly in the presence of noise. ● Extended Local Binary Patterns (ELBP): Employed for effective image processing, especially for feature extraction from noisy images.