Position: Computer Vision/Deep learning Engineer
Category: Data Science
English level: fluent
Years of experience: 4


May 2022/Aug. 2022
Company: Pic-time
Description: Deep learning engineer
Responsibilities: Developing and maintaining neural network based computer vision system for face detection and unsupervised human re-identification
Technologies: Python, Pytorch, Docker

Jul. 2020/Aug. 2021 
Company: Lynx
Description: Game Developer/Mathematician
Responsibilities: Developing game engine based on APL-like language Q. Game
engine was simulating ecosystem as dynamical system based on Lotka–Volterra
equations
Technologies: Python, Numpy, Unity, Q-lang

Jul. 2019/Dec. 2019
Company: Samsung
Description: Computer Vision Engineer
Responsibilities: Distance estimation algorithms research, porting code from
Python to C++
Technologies: Python, C++, Tensorflow, libBoost, Docker

Feb. 2018/Feb. 2019
Company: EOS Data Analytics
Description: Data Scientist
Responsibilities: Field edge detection with gabor filter, unsupervised fields de-
tection, segmentation neural networks architecture research for landcover and crop classification
Technologies: Python, Tensorflow, Keras, Gdal, Docker

Aug. 2017/Feb. 2018
Company: Anryze
Description: Data Scientist
Responsibilities: Neural networks architecture research for speech recognition
Technologies: Python, Pandas, Keras, PyWavelets, Python-speech-features
Nov. 2016/May. 2017 
Company: DataRoot
Description: Junior Data Scientist
Responsibilities: Building emotional recognition system and user activity analysis
Technologies: Python, Pandas, Scikit-learn, Keras, Numpy, Pyspark,
Matplotlib, Seaborn, Xgboost, PyMongo

Dec. 2015/Feb. 2016
Company: MedTechCollective
Description: Data scientist intern
Responsibilities: Building food recognition system, data parsing, dataset preprocessing
Technologies: Python, Keras, Caffe, BeautifulSoup, Selenium