Emin Bariiev

Three years of experience as Software Engineer, gained expertise in full lifecycle software development, programming well-designed, efficient code, creating dynamic and user-friendly mobile applications (Flutter, Dart) and also a good knowledge in database design. Proficient in supervised/unsupervised machine learning (ML), Deep Learning (CNN, SNN); skilled in Python, SQL, C++. Master’s degree in Computer science/GIS. Experienced in multiple tools related to ML such as PyTorch, Pandas, NumPy, Scikit-learn. During my master's studies I conducted research on supervised learning methods for Spiking Neural Networks (SNN). As part of my master’s thesis SNN was developed for image segmentation problem. Good knowledge of the Agile development i.e., Scrum, Kanban. Seeking new opportunities and challenges to apply my experience to solve real-world business problems, and contribute to driving meaningful change.