Mr. Simar Muratov | Data Analysis | Young Scientist Award

Postgraduate Student at Data Analysis, ITMO University, Russia

👨‍🎓He remarkable academic journey, extensive research contributions, and dedication to the field of psychology are truly commendable. Your wealth of knowledge and diverse skill set reflect a deep commitment to understanding and addressing critical issues such as bullying, inclusion, and socialization.

🔬 He successful completion of a PhD in Psychology, along with the numerous advanced courses and workshops, showcases your continuous pursuit of excellence and expertise in your field.

🏆 The awards and recognitions, including the First Place in the Poster Award at the University of Stavanger, underscore the impact of your research and the high regard it holds in the academic community.

Professional Profiles:

Google Scholar Profile

Education:

Mr. Simar Muratov has a strong educational background in the field of computer science. He completed his studies in Information Security from 2016 to 2020 at Peter the Great St.Petersburg Polytechnic University. Following this, he pursued Artificial Intelligence and Machine Learning from 2020 to 2022, again at Peter the Great St.Petersburg Polytechnic University. Currently, he is studying Theoretical Informatics at ITMO University, with an expected completion date in 2025. This diverse educational journey indicates a well-rounded understanding of various aspects of computer science and technology.

Summary:

Mr. Simar Muratov holds a Master’s degree in Mathematics and Computer Science, specializing in Artificial Intelligence and Machine Learning, from Peter the Great St. Petersburg Polytechnic University. Currently, he works as a DevOps engineer in the infrastructure automation team at Sberbank of Russia, while also pursuing a Ph.D. in Theoretical Informatics at ITMO University. During his university years, he began working on a secure big data lake framework and has since gained expertise in developing CI/CD pipelines, customizing IaaC solutions, and designing architectures. Mr. Muratov is actively improving his skills in DevSecOps, MLOps, and cloud computing (SberCloud, YandexCloud). He holds certifications in Azure cloud services (AZ-900 and AI-900) and is preparing for the AWS Solutions Architect Associate certification, in addition to completing corporate training within the company.

Experience:

Mr. Simar Muratov has been employed as a DevOps engineer in the infrastructure development team at Sberbank of Russia since 2023. In this role, he is responsible for various tasks such as developing Ansible playbooks and roles, supporting server configuration setup, and administering Linux and PostgreSQL DBMS. Additionally, he is involved in the development of automation scripts in Python/bash, administration of k8s/OpenShift clusters, implementation of custom terraform modules, and setting up monitoring and logging systems. During his tenure, Mr. Muratov successfully addressed three key challenges, including creating a unified gateway inventory for component-based stands, developing a unified ansible inventory format for job customization, and implementing nginx PL/SPF auditing to streamline configuration alignment and monitor certificate expiry dates.

Skills:

Mr. Simar Muratov is proficient in a wide range of programming languages, DevOps tools, cloud computing, administration, build tools, and additional skills in data science, data engineering, databases, quality assurance, management, and documentation. He is certified in Python and also has expertise in C++. His scripting languages include bash and groovy. In DevOps, he has experience with version control (Github, BitBucket, GitLab), CI/CD tools (Jenkins, TeamCity, GitLab CI, CircleCI), and distribution repositories (Nexus, Artifactory, DockerHub, Azure CR). He is skilled in containerization/orchestration (Docker, docker-compose, docker-swarm, k8s, Openshift), configuration/infrastructure management (Ansible, Terraform), and cloud computing (AWS, Azure certified, SberCloud). Mr. Muratov is proficient in Linux and Windows administration and various build tools (make, maven, sbt, gradle, npm, PyInstaller, Cython, PyPy). His side skills include data science (Tensorflow, sklearn, numpy, pandas, matplotlib, seaborn, R, DVC, MLFlow), data engineering (Apache Spark, Apache Airflow, Apache Kafka, Redis, CTL, YARN, oozie, HDFS), databases (PostgreSQL, MongoDB, Apache HBase, ClickHouse, Greenplum), quality assurance (Selenium, PyTest, Lettuce, Robot), management (Jira), and documentation (Confluence). He is proficient in English (B2+) and has basic knowledge of German (A1).

Projects:

Mr. Simar Muratov has been involved in several notable projects, including the development of a secure operating system for the Parrot AR Drone 2.0, utilizing “iptables” rules and a proprietary cryptographic protocol. He has also demonstrated his skills in creating tasks for Yandex Alice’s “Tasks from Fractal” using Java, Maven, Tomcat, J2SE, servlets, JSON, XML, and PostgreSQL. The prototype for this project was hosted on Amazon services. Additionally, Mr. Muratov has worked on mobile device security tools leveraging deep learning and artificial intelligence hardware support, developed using TensorFlow Lite. He has contributed to the architecture of a secure big data lake framework and is currently involved in real-time log anomaly detection. His recent pet projects include a machine learning model project template implementing MLOps practices and an in-house developed matrix multiplication module for Python using Cython.