Software engineer and published researcher in computer science, bioinformatics and pure mathematics. Experienced in creating data-driven features serving millions of customers. Interested in applying machine learning, AI and data mining to wide range of practical problems from online advertising to bioinformatics. Specialties: Machine learning, recommender systems, AI, big data processing, graph theory. Strong knowledge and practical experience with Scala, Java, C++, C# and Python.

Senior Applied Researcher @ Research, design and implementation of large-scale recommendation features for AppStore and iTunes. DRI for iOS AppStore recommendations: - Led the development of "More Games You Might Like" from prototype to launch in US and UK markets (first personalized games recommendations on the AppStore) - Models for "Customers Also Bought" feature Also, "Customers Also Bought" models for: Audiobooks, Podcasts and iTunesU From December 2013 to Present (1 year 11 months) Cupertino, CAResearch Software Development Engineer II @ June 2012 - November 2013: Bing, Bing Architecture team June 2010 - June 2012: Microsoft Advertising, Audience Intelligence team Research, design and implementation of technologies and incubation projects. Closely worked with Microsoft Research to bring deep learning and other machine learning techniques to production. From June 2010 to November 2013 (3 years 6 months) Bellevue, WAGraduate Student Researcher and Teaching Assistant @ Research involves application of machine learning, statistics, graph theory and large networks analysis in bioinformatics Lead discussion sessions and grade homeworkds for: CS178 - Machine Learning and Data Mining CS162 - Formal Languages and Automata From July 2008 to March 2010 (1 year 9 months) Irvine, CASoftware Engineer @ Conducted research in software development methodologies (findings resulted in conference publication). Contributed to design and implementation of Content Management System for company’s website. From March 2007 to July 2007 (5 months)

Ph.D., Information and Computer Science @ University of California, Irvine From 2007 to 2010 Masters, Applied Mathematics @ Kyiv National Taras Shevchenko University From 2001 to 2007 Oleksii Kuchaiev is skilled in: Machine Learning, Data Mining, C++, C#, Python, Statistics, Online Advertising, Big Data, Hadoop, Java, Scala, Spark, Information Retrieval, Graph Theory, GPGPU, Bioinformatics, CUDA, Apache Pig, SQL, Software Engineering, Computer Science