Almaz Tatin, born on January 11, 1998, in Astana, Kazakhstan, is a researcher and Fullstack Developer specializing in mathematical modeling, machine learning, and computational sciences. He holds a Master’s degree in Mathematical Modeling (2021) from the Kazakh Branch of Moscow State University and is currently pursuing a Ph.D. in Computer and Mathematical Modeling at the Eurasian National University. Scientific Contributions Almaz has made significant contributions to research through innovative projects: Developed neural network models using TensorFlow, Keras, and PyTorch for predictive analytics. Collaborated on government-funded projects under Professor M.V. Klibanov (University of Charlotte, USA). Presented findings at international conferences , gaining recognition for his work in mathematical modeling. Technical Expertise Skilled in programming languages like Python , Java , and JavaScript (React) , Almaz bridges theoretical research with practical applications. His expertise includes frameworks like Spring Boot , Hibernate , and tools such as Docker , Git , and Agile methodologies . Key Projects Task Manager : Built using Spring Boot, Hibernate, PostgreSQL, and React. GitHub . Achievements IELTS certificate (5.5). Published research papers on machine learning and mathematical modeling. Almaz combines academic rigor with technical innovation to drive advancements in science and technology.