I’m a data scientist and ML engineer with full-stack development expertise, transforming complex data into actionable insights. I design, train, and deploy machine learning models while building scalable web applications that deliver data-driven solutions. With experience in Python, SQL, cloud platforms, and modern web frameworks, I bridge analytics and product development. I enjoy tackling challenging problems and creating systems that are intelligent, efficient, and impactful.
Advanced ML curriculum delivered by senior Yandex researchers and engineers. Admitted through a highly selective process. Developed strong theoretical grounding in machine learning alongside practical experience implementing and analyzing algorithms from scratch.
Built and maintained end-to-end web applications, implementing backend APIs, databases, and frontend interfaces. Integrated AI/ML models into production systems, handling data pipelines, model inference, and monitoring. Deployed and maintained services in cloud environments, ensuring reliability, performance, and scalability.
Developed and maintained back-office web applications supporting financial operations and logistics workflows. Implemented backend APIs, database schemas, and internal dashboards; integrated third-party services such as payment and tracking providers. Contributed to testing, debugging, performance optimization, and production deployments to ensure reliability and data integrity.
Selected from 3,000+ applicants through a rigorous three-stage interview process. Completed a two-month intensive program led by senior engineers from Yandex, focused on high-load systems, scalable architecture, production-grade implementation, and performance optimization.
Presidential University (2024-2028)
Information and Communication Technologies School named after al-Khwarizmi (2022-2024)