Our authors

Ruslan Makarsky is the Co-Founder and CCO at Aristek, with over 20 years of experience working at the intersection of technology and education.

His connection to EdTech started early. Long before online learning became a common term, Ruslan’s first projects as a founder in the early 2000s were already focused on educational software. Those early experiences shaped a lasting interest in how learning systems are built, how people interact with them, and why some tools actually work while others don’t.

Ruslan holds a Bachelor of Science in Electrical and Electronics Engineering and an MBA, combining an engineering mindset with a clear business view. Over the years, he has worked with schools, universities, learning platforms, and professional training providers, gaining a practical understanding of learning management systems, content delivery, and the real-life use of digital education products.

As a parent of two, Ruslan sees education not only as a professional field, but as something that continues throughout life. He pays close attention to curiosity, motivation, and the ability to learn independently – topics that often influence how he thinks about technology in education.

Outside of work, Ruslan is a licensed light aircraft pilot. Flying requires focus, preparation, and calm decision-making – qualities that also shape how he approaches long-term projects, teamwork, and responsibility in his professional life.

Aleksei Turchak is the Co-Founder and CTO at Aristek, with more than 20 years of experience building and maintaining complex software systems. He holds a degree in Mathematics and Computer Science, which laid the foundation for his long-term work in engineering and system design.

Since the late 1990s, Aleksei has worked on a wide range of large-scale and technically demanding projects, including enterprise systems such as ERP platforms, learning management systems, and custom software solutions. Over time, this work shaped his strong systems thinking and a calm, structured approach to solving difficult problems, especially when projects grow in size, complexity, and responsibility.

Earlier in his life, Aleksei practiced Muay Thai, an experience that taught him discipline, focus, and how to stay steady under pressure. While his priorities have shifted over the years, that mindset still shows in how he approaches engineering challenges and teamwork: thoughtfully, consistently, and without rushing to easy answers.

Outside of work, Aleksei enjoys gardening and hosting barbecues for friends and family. These slower, hands-on activities reflect a side of him that values patience, care, and the understanding that strong results – in technology or in life – rarely happen overnight.

Viktoryia Makarskaya is a Data Science expert at Aristek with a Bachelor’s degree in Actuarial Mathematics and a Master’s degree in Radiophysics.

Her work covers multiple areas of applied data science, including time series analysis, transactional data analysis, computer vision tasks, audio processing, and work with large language models. She has experience across several domains, including healthcare and banking, where data accuracy and well-reasoned decisions can have real, tangible impact.
A large part of Viktoryia’s work is connected to research and experimentation. She regularly tests different modeling approaches, compares results, and looks for solutions that hold up not only in theory, but also in real-world conditions. She is driven by the idea that data and analytics can support critical decisions – and, in some cases, genuinely improve or even save lives.

Outside of work, Viktoryia is deeply into sports. She plays volleyball at a competitive level and has taken part in multiple tournaments, valuing teamwork, trust, and shared responsibility. She was raised with the belief that failure is not a dead end, but a signal to look for a better way forward – a mindset shaped by years of trying different sports and hobbies and learning from each experience.

Working across both data science and ML engineering gives him a particularly complete view of how data quality, modeling choices, evaluation, and infrastructure constrain and reinforce one another, determining how reliably the solution performs in real conditions.

Artem holds a Bachelor’s degree in Physics and a Master’s degree in Mathematics and Control Methods, a foundation he has since carried into work across forecasting, NLP, recommendation systems, computer vision, LLMs and a wide spread of industrial AI.

He continues to build on that base through professional training, including OTUS’s Advanced Machine Learning program, Mail.ru’s Technosphere Big Data program, and IBM’s SQL course on Coursera. Recently he has also added management training through Eduson’s CEO course and Aristek’s five-module management program.

And this background underpins the range of roles Artem has taken on, while his experience has carried him across very different operational settings, from building demand-forecasting systems for pharma and rethinking how field teams plan pharmacy visits to developing computer vision for object counting from drone footage and migrating enterprise data flows to a modern ETL architecture.

Today, Artem’s analytical approach is put to work in manufacturing, where his role combines technical leadership with hands-on engineering.

At Aristek, he leads computer vision work for quality control in automobile production, combining data science with the engineering and technical coordination behind the full model lifecycle.

Artem’s low tolerance for small inaccuracies shows up in the way he improves the process around the models, caring about narrowing even the smallest gap between projected metrics and real-world use.

He introduced version control into training and data pipelines, reduced the number of manual steps required whenever new models are released, and made the entire workflow easier to trace, maintain, and evolve over time.

However different the projects, Artem holds on to one motto: in any complex task or seemingly hopeless situation, there is an unexpected solution that makes the impossible possible, as long as you believe in the goal.

He shares this mindset in his writing, including articles published on Medium, which grow directly on the questions and frictions he encounters in practice.

Outside work, Artem plays table tennis, which is perhaps a fitting choice for someone whose projects also often reward quick judgment and a feel for when a small change of angle can shift the whole game

Anna Danilkovich is a Business Analyst at Aristek. She holds a degree in linguistics and intercultural communication, with a specialization in international tourism.

On client projects, Anna gathers and formalizes requirements, models processes in UML and BPMN, and analyzes integrations such as REST APIs, SSO, and payment systems. She supports features from discovery through to release. Beyond individual projects, she helps shape how business analysis works across the company, from standards and artifact templates to approaches for handling requirements. She also mentors analysts, helps them grow along the company’s skills matrix, and takes part in hiring.

Anna is also part of Aristek’s R&D work, where the team looks for solutions to non-trivial problems. She reviews competitors, tracks market signals across different domains, gathers requirements from stakeholders, and works out solution architecture. Much of this work currently focuses on agentic AI: the team builds AI agents, skills, and MCP servers.

Her project experience spans EdTech, insurance, FinTech, logistics and ERP, HR tech, healthcare, veterinary, e-commerce, and retail.

Anna enjoys figuring out how things work. She prefers to start from the real problem a user has and turn scattered requests into a clear system. In AI, she is drawn to the practical side: removing routine work so people have more time for tasks that require thinking. What matters most to her is seeing her work in a live product that people actually use.

Outside of work, Anna enjoys active leisure, especially long walks, and often travels to another city or to the forest for them. She loves traveling in general. Board games with friends are one of her favorite pastimes. She also has a soft spot for beautiful jewelry, and on quieter days she likes to knit.