- Developing predictive models for assessing the risk of different health outcomes using time-to-event models using Python, R and ML/DL, which would shift the knowledge in how to create such models and propose opportunity to measure disease risk within 5-10 years via web interface
- Conducting research to unravel the causality of metabolic and cardiovascular disorders using hypothesis testing (A/B testing) and machine learning models, which opens new insights in medicine and treatment
- Reading research articles to propose new hypothesis and implement same technology for own datasets

- Developed advanced algorithms to process BRep geometry to estimate manufacturing costs of details for customers, which also increased value of company manufacturing toolkit system on a market.
- Fixed bugs in the core 3D geometry processing algorithms, which now support more complex details for analysis and optimized core modules of the system to meet time requirement
- Refactored and prepared detailed documentation of API in English using Doxygen and ChatGPT, which improved communication with end users
- Tracked my results using YouTrack during 2 weeks sprints

- Developed BIM system to automate work of BIM engineers, which, as a result, increased their efficiency by reducing number of operations to engineer a building in Revit;
- Read innovated articles in 3D geometry processing to incorporate them into the system, which reduced algorithms’ running time
- Tracked my results using Asana and Agile approach

- Developed different game logic algorithms, which helped team to make the first prototype and participate in fund-raising competitions .
- Developed AI modules for the game, such as pathtracking and enemy fighting behavior using Behavior Tree, which is the main feature of the game
- Tracked my results using Jira

- Machine Learning/Deep Learning, Python, Pandas, Numpy, Scikit-learn
- Advanced Statistics, Optimization and Sampling methods
- RNA-seq, Single Cell analysis, Epigenetics, GWAS, Polygenic Risk Scores, Structural Bioinformatics

- C/C++, C#, Assembler, TCP/IP, Algorithms and Data Structures, Machine Learning/Deep Learning
- Computational Mathematics, Probability Theory and Statistics, Linear Algebra, Mathematical analysis
- Reverse Engineering, ROS