Position: Software Engineer
Category: C++
English level: fluent
Years of experience: 4


Software engineer at Sergek Development
Sep 2020 - present, Astana, Kazakhstan
C++, Python, OpenCV, Gstreamer, Docker, PyTorch, NVIDIA Jetson, TensorRT, ONNX 
Mobile smart patrol project:
– Built/maintained AI-based mobile ANPR, speed and parking violations detection system; it was launched across
3 Kazakhstan major cities
– Collected dataset for number-plate detection, developed object detection pipeline
– Migrated Python code to C++, ported trained models to embedded devices, optimized overall performance of
the system
– Performed integration with external API services

Automatic toll collection project:
– Developed real-time mutli-class vehicle classification algorithms using a lidar sensor
– Created dockerized application and integrated it with other micro-services


Research engineer at GeoAlert
Jun 2019 - Dec 2019, Moscow, Russia
Python, OpenCV, Docker, Keras, scikit-image, shapely, rasterio, Agisoft Metashape
Remote sensing data analysis:
– Worked with remote sensing technologies (satellite, UAV, multispectral and LIDAR imagery), geospatial data
– Processed over 1000 hectares of forest regions to create high-resolution orthophotos and ground truth masks
using UAV photogrammetry and various image processing algorithms
– Developed deep learning-based experimental setup for tree crown detection and segmentation


Robotics engineer at ReSET Eurobot team, Skoltech
Oct 2019 - Jun 2019, Moscow, Russia
Development of autonomous mobile robots:
– Worked on structural design, 3D modelling and construction of the robots
– Vice champions of “Eurobot” international robotics contest


Research assistant at ARMS Lab, Nazarbayev University
Dec 2016 - May 2017, Astana, Kazakhstan
Human Grasp Generation project:
– Created the database on the recognition of human grasp types (226 GB of data, 3826 grasps)
– Prepared protocol for human subject data collection experiments
– Collected and annotated multi-modal sensory data: RGB-D images, body kinematics and RGB video; dataset
and annotation software were shared as an open source tools