I work on developing a translation service tailored to meet the in-house needs of the company, covering 32 languages. In addition to this, I am actively involved in a project centered around AI multi-agent systems, contributing to the design and implementation of advanced AI solutions.

• Developed an MVP for an automated web data collection parser using Python and Selenium, streamlining the process of gathering labelled data for various traffic-based machine learning tasks.• Utilized state-of-the-art CV deep learning models to detect and classify objects of 17 different classes in vehicle X-ray image analysis for the Kazakhstan's customs digitalization project.• Engineered a Python micro-service for validating the accuracy of mobile base station data. This innovative solution not only ensured data integrity and correctness but also played a pivotal role in rectifying the majority of errors attributed to human factors.

Teaching courses on Python programming, data science and machine learning, the basics of building electronic circuits and microcontroller programming using Arduino UNO microcontroller. Designing the curriculum, preparing visual presentations and theoretical background for the courses, conducting lectures, organizing and supervising practical activities.

• Applied data mining and statistical analysis techniques for large-scale data analysis to drive business optimization.• Developed client profiling and segmentation tactics for targeted marketing campaigns, while also conducting A/B tests to validate different hypotheses.• Acquired and processed data from primary and secondary sources, maintaining complex data models and reporting systems.• Generated daily and monthly reports and addressed ad-hoc requests.

Gathered and analyzed customer, marketing, and web behavioral data, leveraging insights to create a dynamic monthly marketing costs report in Power BI. Presented regularly to senior management, this report served as a foundation for strategic decisions, facilitating the optimization of costs and refining marketing strategies.

Participated in a research initiative focused on applying machine learning techniques to analyze DNA microarray chip data, aiming to achieve early cancer detection and precise classification of diverse cancer types.• Treating DNA microarray data as a large-scale machine learning problem in hope to better understand the task of early cancer detection and classification.• Data collection, preparation and cleaning, application of various feature selection/extraction techniques.• Applying text mining and information retrieval techniques for data labeling.• Utilizing supervised learning methods for cancer classication problem.

Teaching primary and secondary school children the basics of robotics and program-ming using Arduino-based and LEGO robotic kits. Development of teaching methods, preparation of study plans and lesson materials.

Teaching children (6-14 years) the basics of robotics and programming in Scratchand C++ programming languages, building electronic circuits based on Arduino Uno microcontroller, 3D modeling and prototyping using Blender and FreeCAD.

Prepared and edited technical documentation, data sheets, contracts and agreementletters with foreign suppliers in English. Translated the technical documentation and manuals for waste oil treatment equipment from English to Russian.

Worked in a team of students integrating Xsense MVN motion capture system and KUKA YouBot mobile manipulator robot.• Installation and maintenance of Xsense MVN motion capture system.• Collecting data sets and creating the database of motion types of human arm.• Developing an algorithm for motion recognition using principal component analysis (PCA) and linear discriminant analysis (LDA).• Implementing algorithms in Matlab and C/C++.