As well as a successful track record of algorithmic programming contests and Kaggle competitions. During my career, I have performed a variety of roles: developer, research engineer, consultant, technical lead, and solutions architect. I believe in T-shaped skills, therefore I have wide interests in technology in general, but my deepest knowledge is in data science and software architecture.
Member of the full-stack team developing the modeling core.
My primary areas of focus: automated machine learning, time series/multiseries forecasting, hyperparameter optimization, ensemble learning, operationalizing ML models.
Teaching AI to 3rd year Computer Science undergrad students.
Teaching selected topics on Machine Learning to Data Science Master's degree students.
Teaching Machine Learning summer/winter schools for external audience.
Unsupervised learning, soft clustering, speech analysis, digital signal processing.
Conducting pre-sales activities for data science/big data projects: initial customer negotiations, proposals.
Designing and implementing statistical/probabilistic/data mining/machine learning models.
Improving accuracy of existing systems by enriching them with advanced analytical models.
Selecting and integrating Big Data tools and frameworks required to provide requested capabilities.
Helping business stakeholders make decisions based on data.
Worked on the pre-sales phase for more than 40 projects in different domains and technology areas, including HPC, Big Data and Cloud projects. Took part in communication sessions with the potential customers, contributed to the preparation of many commercial proposals as a solutions architect. Assisted during the initiation phase of new projects.
Led a company-wide .NET technology stream consisting of 50+ software engineers.
Master’s Degree, Computer Science