Oleg is a Big Data Engineer with 10+ years of development experience focusing on Java back-end solutions for different enterprise-level clients. He specializes in developing algorithms, Big Data technologies, and application architecture to create and implement effective and reliable code solutions for clients. Oleg writes all of his code to deliver the best customer and end-user satisfaction for clients.
Worked on the development and adjustment of a multi-agent platform for solving production planning problems within Smart Solutions.
Actively participated in the integration of a multi-agent solution for cargo delivery to the International Space Station.
Supported and implemented change requests for several factories using real-time adaptive planning and deployed complex data migration solutions using Oracle triggers and HTTP.
Contributed to the development of an automated parking system with features for a receipt printer, card reader, and cash dispenser deployed in the USA.
Developed hardware drivers in Java for the card readers, printers, and ATMs on the system.
Designed and implemented a data mining model to enhance oil recovery on big projects.
Tuned existing database for quicker search of geographic coordinates and optimized access to large amounts of data using redesign, indices, hints, and partitioning.
Designed and adjusted the database for storing data on oil companies such as Lukoil and Gazprom and implemented a reporting system for customers to get the data as Excel files.
RichRelevance empowers the world’s best companies to personalize their customers’ experiences resulting in over $24B in attributable sales. Implemented recommendation strategies, including images in Scala, R, and Python. Prototyped experimental strategies in Python such as regular ML libraries and self-developed algorithms of Computer Vision. Developed a replenishment strategy and worked on a user identity matching project, which identified anonymous users by their social network profiles. Created new recommendation strategies and implemented a retailer-feed validation tool. Developed a testing framework for Hadoop tasks and collaborated with the support team to assist clients with application challenges.
Onshop is an eCommerce shop constructor covering all processes for online trading. It allows users to manage and organize online commerce on a single platform in real time and to create an online shop in just a few simple steps.
Education
Triplebyte Certified Generalist Software Engineer
Triplebyte
2020 - 2020
Big Data Analysis with Scala and Spark
EPFL
2017 - 2017
Machine Learning
Coursera
2016 - 2016
Oracle Certified Professional, Java SE 6 Programmer