Position: Python Developer
Category: Python
English level: intermediate
Years of experience: 1.5

Place No. 1 (worked for 6 months): participated in developing c++ machine learning library. Implemented CART with different partitioning methods, best splitting criteria and split stop criteria.
Place No. 2 (worked for 15 months): developed a color-based building detection approach based on hsv color statistics and grabcut algorithm(used Python, OpenCV, skimage, sklearn); developed an image groupping C++ algorithm based on ASIFT with OpenMP parallelization; attached ASIFT to Bundler SfM, improved Bundler images preprocessing by restructuring and OpenMP parallelization.

Task No. 1: made map reduce parsing of apache logs with Python and Hadoop Streaming to collect some metrics(unique users, browsers statistics, country statistics).
Python, Hadoop, Linux, sklearn, data mining, machine learning, opencv, skimage, C++, Algorithms, Data Structures.