Has proven experience in high and low level design, communicating it to both technical and non-technical colleagues.
Since recently main interests include algorithmic challenges and mathematical problems in software development, specifically Machine learning and Data Mining.
Designed and developed own solution based on frequent pattern mining approach.
Improving search engine ranking function by analyzing million of people profiles using Spark.
Suggested and implemented approach to tag data based on set of mined rules and relevant search queries.
Analysis of polysemy using Spark ML, word2vec and LSA.
The project is related to online advertisement.
Data analysis using R and Spark.
Creating and evaluating predictive models: Logistic Regression, Decision Tree, Random Forest using R and Spark ML.
Most of the projects are related to the eCommerce solutions development for online retailers in United States.
Lead development team up to 5 engineers.
Use various NoSQL solutions and Big Data technologies and implement different subsystems with enterprise architecture.
Developed eCommerce solution from scratch. Obligations included technical management development team up to 4 employees.
Composition of functional and non-functional requirements, their projection to designed of multiple business features such as catalog, facet filter navigation, checkout, ERP integration.
Master's degree, Computer Software Engineering