MILES AXLE Translation. Region: Russian Federation –
Source: State University Higher School of Economics – State University Higher School of Economics –
Photo: hackathon “Digital Breakthrough” / VKontakte
First year student of the Master’s program “Product approach and data analytics in HR management» Konstantin Balcat and his team of like-minded people have developed a system for predicting hard drive failures based on machine learning. With this project, they are among the best at the Digital Breakthrough hackathon for the second year in a row. Vyshka.Glavnoe talked to Konstantin about developing innovations and studying at the university.
About the project
— The system we propose allows companies providing cloud services and using their own hard drives to promptly manage stocks and equipment in data centers, as well as effectively plan purchases and optimize the warehouse. At the same time, the possibility of warranty service for purchased batches of equipment is preserved. All this is especially important for large cloud providers.
The idea for this solution arose from a case and problem proposed by the company “Sila”, which our project helps within the framework of the hackathon “Digital Breakthrough”. Based on historical data on the use and failure of disks, we can predict the moment of failure of a new disk in the future. At the same time, our system takes into account the features of each specific batch of equipment. This allows for more competent management of resources and prevention of failures in the operation of data centers.
About the team
— Our team won the regional hackathon “Digital Breakthrough” in Omsk last year with this project. In 2024, in the same hackathon, but at the federal level, we again entered the top, taking 4th place. We are currently negotiating with the company “Sila” about further development and implementation of our solution in the industry.
The team also includes Daniil Galimov, Alexander Serov, Alexander Kharlamov and Artem Tarasov. We met two years ago at the educational forums “I am a professional” in IT and specialized programs at Sirius. Since then, we have taken part in dozens of competitions, in some of which we won or took prizes. Now, under the grant “Code-AI” of the Foundation for Assistance to Innovations, we are developing a system for identifying marine mammals using aerial photographs. All participants work as IT specialists in Russian bigtech companies: Daniil Galimov and Alexander Kharlamov are specialists in backend and Python, Alexander Serov and I are machine learning engineers and project managers.
About HSE and studies
– This year I entered the Higher School of Economics Faculty of Computer Science. My program, “Product Approach and Data Analytics in HR Management,” is being implemented jointly with Alfa-Bank. Having a technical education, I considered it important to delve into the field of management and people management. At the same time, I did not want to stray too far from the technical side and artificial intelligence engineering. It was in the FCN program that I saw such an opportunity. Now I am developing a solution for analyzing interpersonal communications using large language models. It was important for me to have the opportunity to discuss, collaborate with Alfa-Bank, and receive feedback on my project during classes.
Please note: This information is raw content directly from the source of the information. It is exactly what the source states and does not reflect the position of MIL-OSI or its clients.
Please note; This information is raw content directly from the information source. It is accurate to what the source is stating and does not reflect the position of MIL-OSI or its clients.