Dmitry M. Sinelnikov

About myself

I, Dmitry Mikhailovich Sinelnikov, am the head of the HPCLab Laboratory of Artificial Intelligence and Big Data at the National Research Nuclear University MEPhI. I have been holding this position since September 2025, being one of the founders of the laboratory, to which I have devoted myself since 2022. My total development experience is over 10 years.

My professional interests are focused on building reliable, scalable, and maintainable applications. I have extensive experience in developing in various languages, including Golang, Ruby, Python, Java, Kotlin, Dart, JavaScript, and TypeScript. My approach to programming is a combination of engineering and creativity, requiring constant innovation and experimentation.

I believe in the importance of teamwork, I actively participate in the discussion of architectural solutions and complex technical tasks, and I am always ready to support colleagues. I have significant experience in DevOps, which allows me to effectively manage the full lifecycle of software development, deployment, and operation.

My key areas of interest include machine learning and blockchain, which allows me to stay at the forefront of technological progress and apply cutting-edge approaches in my work.

Work experience and key achievements

National Research Nuclear University "MEPhI"

Assistant/Scientific Director of the Laboratory of Artificial Intelligence and Big Data HPCLab

(February 2022 — present)

Leadership of a laboratory focused on research in the field of high-performance computing and machine learning.
Deployment and configuration of the laboratory infrastructure.
Development of an autonomous voice assistant based on large language models (LLM).
Teaching courses on hybrid supercomputing technologies, big data processing technologies, programming (algorithms and data structures), object-oriented programming and orchestration technologies.

HUAWEI

Lead Software Engineer

(March 2021 — September 2022)

Conducted research in the field of efficient storage and compression of large amounts of data.
Participated in the development and optimization of the Apache HBase cluster and integrated it into the Huawei Cloud infrastructure.
Developed our own high-performance key-value storage based on LSM trees.

Education

National Research Nuclear University "MEPhI", Institute of Intelligent Cybernetic Systems, Computer Science and Engineering. PhD candidate. Graduation year: 2022.
National Research Nuclear University "MEPhI", Institute of Intelligent Cybernetic Systems, Computer Science and Engineering. Master. Graduation year: 2018.
National Research Nuclear University "MEPhI", Faculty of Cybernetics and Security, Computer Science and Computer Engineering. Bachelor. Graduation year: 2016.