According to Accenture, by 2025, more than 75% of Fortune 500 companies will use AI to optimize key business processes. Artificial intelligence can analyze large amounts of data, identify trends and patterns, which allows for more informed decisions. For example, automating routine tasks with AI frees up employees for more creative and strategic work. Alexey Golenev, an expert in high-load systems and former senior manager at Google, is now developing his own AI startup and implementing advanced artificial intelligence technologies in the corporate sector.
Large-Scale Projects in International IT Consulting
Working with high-load systems requires unique knowledge and skills, as such systems must cope with huge amounts of data and ensure high availability and performance. This is important for the smooth operation of online stores and large online banks. Alexey Golenev gained experience in solving such problems while working on large consulting projects aimed at optimizing high-load systems and implementing technical solutions. During the reorganization of the IT infrastructure of one of the country's leading banks with more than 7,000 employees, his team conducted a comprehensive audit of existing systems, developed a migration strategy, and implemented an optimization plan. This made it possible to decommission 1480 outdated applications in 36 regional centers and save $30 million annually.
Alexey applied his skills in working with high-load systems at Google, where he led the Infrastructure Storage team. Under his leadership, the team grew from 12 to 27 engineers and implemented a number of critical projects, including the implementation of Transparent migration technology for distributed data storage. The solutions developed by the team to ensure fault tolerance and automatic recovery after failures formed the basis of a scientific publication on the principles of building global file storage, where special attention is paid to the use of machine learning to optimize storage systems.
Virtual Experts for the Corporate Sector
Possessing knowledge and experience in working with high-load applications allowed Alexey to create an innovative platform of virtual experts based on AI. The system uses advanced machine learning algorithms and neural networks to automate complex decision-making processes in the corporate sector. The system processes corporate knowledge and documentation, then uses them to advise employees in real time, which significantly speeds up business processes. The solution is based on experience in integration with modern AI platforms, including Vertex AI and OpenAI API, as well as a deep understanding of the principles of building high-load systems.
An important aspect of development is ensuring the scalability and fault tolerance of the platform. Thanks to the use of microservice architecture and modern approaches to load balancing, the system is able to handle a large number of simultaneous requests without loss of performance.
In parallel with the development of the startup, Alexey Golenev participates in the work of the professional community. In October 2024, he was invited to the International Association of IT Specialists, which includes only recognized industry experts. Alexey also acts as a jury member of the international startup competition Su&IT 2024, where he evaluates promising projects in the field of information technology and shares his experience with young entrepreneurs.
From Courses at MIPT to Training Engineers for International Companies
Working with high-load systems based on artificial intelligence is becoming an integral requirement of the modern IT landscape. As more and more companies implement AI solutions for processing huge amounts of data, the need for specialists who can design and maintain such systems is growing.
"Creating and maintaining high-load systems requires a special set of skills and a deep understanding of architectural principles. There is a critical shortage of such specialists in the market," says Alexey Golenev.
Relying on his experience as the head of engineering teams in international corporations, he is training a new generation of IT specialists. He has developed a comprehensive training program, including courses in Java programming and software architecture at MIPT, where time is devoted to practical aspects of development, including working with distributed systems and applying modern architectural patterns.
In addition to teaching at MIPT, Alexey conducts specialized training in preparation for interviews at major technology companies. The program includes analysis of real technical problems, training in algorithms and data structures, as well as recommendations for building a career in international IT companies. The effectiveness of his methodology is confirmed by high student ratings: 4.4 out of 5 on the Formation.dev platform and a maximum of 5 out of 5 on Igotanoffer.
Prospects for the Development of Artificial Intelligence in the Corporate Sector
The main focus of his current work is the development of artificial intelligence technologies to optimize business processes. The skills of creating high-load systems in large technology companies allow developing solutions that combine innovation with reliability and scalability. For example, the horizontal scaling system implemented by Alexey allows the virtual expert platform to automatically increase computing resources during peak loads, and innovative data replication algorithms, similar to those he developed at Google, ensure service availability at the level of 99.99% even in the event of failure of individual infrastructure components. The immediate plans include expanding the functionality of the virtual expert platform by integrating new machine learning algorithms and improving natural language processing mechanisms.
Alexey also sets himself a difficult and ambitious task: the development of predictive analytics technologies that will allow the system not only to respond to current user requests, but also to anticipate potential problems, offering proactive solutions. He is also working on improving scaling and load balancing mechanisms, which will ensure stable operation of the system with a significant increase in the number of users.