- NLP-egineer at Coelus, Nov 2022 - now:
- Developed graph algorithms and data structures to extract information from text.
- Increased the speed of data preprocessing using multiprocessing.
- Improved code quality through the use of principles of code development (SOLID, KISS, DRY, etc).
- Decreased volume of space consumed by serialized files through the use of an efficient method of storing data.
- Data Scientist at scientific research, April 2024 - now:
- Trained neural net for semantic segmentation of liver cells.
- Developed demo version with GUI.
- Research on the content of medical essays: neural networks approaches and traditional methods, available by link
- 2023-2025, Masters Degree in Applied Mathematics at MIREA - Russian Technological University
- 2019-2023, Bachelor Degree in Applied Informatics at MIREA - Russian Technological University
- Machine Learning, Deep Learning, Database Management Systems, Statistics, Linear Algebra, Business Process Modeling.
- Face Recognition & Voice Greeting system - developed a voice greeting system based on a recognized face for the institute in the team
- Stereo Depth Estimation - developed neural net for fast and memory efficient stereo depth estimation
- PICA - web site for style transfer, more detailes in code
- Tiling problem solution - python application for tiling problem solution, details are in repo.
- HabrParser - I parsed habr and make some analysis: word clouds, engagement rate calculation and correlation analysis.
- Development of algorithms for generating voice deepfakes, 3rd place:
- Implemented algorithm for cleaning the speaker's audio recordings from noise.
- Removed silence from audio files.
- Made GUI demo application.
- WoodHack: classification of wood images into classes grade 1, grade 3 and firewood, code
Programming languages:
ML/DL:
Version control:
Database management systems:
Design tools:
