Position: Machine Learning Engineer
Category: Data Science
English level: upper
Years of experience: 4


FaceDocID  (Nov 2018 - Jun 2020)
Description: Document parsing project that uses computer vision - object and text recognition, face comparison using classical CV algorithms, and CNN.
Responsibilities: Research existing solutions, test and implement them into the product, and assist with their integration into the mobile app.
Achievements: Implemented modules and algorithm successfully works in the mobile app.
Technologies and tools: Jupyter Notebook, OpenCV, Tensoflow, Keras, С++, Python.

AI PASS (Nov 2021 - Present)
Description:  Security System based on face recognition and identification.
Responsibilities: Search existence for ML solutions, benchmark and tune them, and integrate them into the project. Optimize product performance.
Achievements: Working product tested in a real-world office environment.
Technologies and tools: C++, Python, CD/CI, Tensorflow, Pytorch, GitLab.

Skipper Board (Nov 2020 - Jun 2022)
Description: Automated bait boat project - for a self-navigated vehicle able to automatically path routes. 
Responsibilities: Research domain. Develop, test, and improve path planning and navigation algorithms.
Achievements: Developed algorithm successfully planning a route and navigating a real-world boat in a natural environment.
Technologies and tools: C++, Python, Jupyter Notebook