As a Machine Learning Engineer at Making Science, I have spearheaded multiple projects in computer vision and natural language processing, using Python, PyTorch, OpenCV, and other cutting-edge tools and frameworks.I have independently developed and deployed innovative solutions for image classification, generation, and object detection, employing advanced convolutional neural networks and deep learning techniques. These projects have enabled me to solve complex problems in areas such as image segmentation and object recognition with high accuracy.In the field of natural language processing, I have demonstrated strong proficiency through personal projects involving text analysis, sentiment analysis, and intent classification. I have effectively managed and analyzed over 1 million+ pieces of Georgian text data, utilizing sophisticated methods and libraries to scrape data and build models that significantly enhance understanding and interaction capabilities.Currently, I am pursuing a master’s degree in artificial intelligence at Georgian Technical University, deepening my theoretical and mathematical knowledge of machine learning and deep learning. I have also completed several prestigious online courses from institutions like Stanford University and DeepLearning.AI, earning certifications that further my expertise in these areas.I am deeply passionate about applying artificial intelligence to solve challenging and impactful problems, and I am keen on continuing to learn and collaborate with other experts in the field. I am seeking a junior role as a Machine Learning Engineer, where I can apply my skills and experience in computer vision and natural language processing to contribute to the advancement of the state-of-the-art in AI technologies.