Position: Computer Vision Engineer
Category: Data Science
English level: fluent
Years of experience: 5


- Constructed two thermal face datasets with annotated bounding boxes and facial landmarks, implemented thermal face detection and facial landmark prediction models. Keywords: Python, PyTorch, LabelMe, dlib, YOLOv5, YOLO5Face, U-net. 
- Developed a data-collection and preprocessing pipeline to construct a multimodal dataset of visual and thermal images, trained GANs to translate thermal images to the visible domain to apply visual face recognition models.
Keywords: MATLAB, ROS, Python, PyTorch, CycleGAN, CUT. 
- Developed a data-collection pipeline to collect signals from Wi-Fi access points and Aruco markers, trained various ML and DL models to implement WiFi-based indoor localization. Keywords: C++, Python, ROS, Keras, Linear Regression, Random Forest, DNN, RNN. 
- Developed a network-based stochastic epidemic simulator to model the spread of the COVID-19 epidemic in Kazakhstan and outcomes of different intervention strategies. Keywords: Python, Qt Creator.