I'm a Python enthusiast and software/machine learning engineer with a strong focus on developing AI systems. I have hands-on experience working with NLP dialogue systems and similarity search and am deeply interested in exploring machine learning applications in computer vision, audio processing, and 3D technology.
2025 MSc. Artificial Intelligence and Data Processing
Thesis: ClipSeek: A Text-to-Clip Retrieval System for Video Datasets
2020 Bc. Software Engeneering, Distributed Data Processing
Thesis: Development of an automated data collection module for a neural network in text classification tasks
| Project | Description | Technologies |
|---|---|---|
| ClipSeek | A multimodal retrieval system for searching specific moments in video datasets, featuring a web interface and similarity search capabilities based on text, image, audio, or video. | Python, PyTorch, Milvus, Information Retrieval, JS, Svelte, TailwindCSS |
| Deformable Convolutions | Training and exploring the impact of deformable convolutions in ResNet-50 for semantic segmentation on the ADE20k dataset. | Python, PyTorch, Lightning, Computer Vision |
| Age Dataset Visualization | An interactive 3D visualization for a dataset of over 1 million deceased famous people. | JS, D3.js, Express.js |
| Feed Forward Network | A Rust implementation of a Feed Forward Neural Network from scratch. | Rust, rayon |
Apr 2021: 1-st place in AviaHackathon 2021 — university hackathon to develop a machine learning solution for manufacturing defects detection.
Aug 2019: 3-rd place in Huawei Hackathon 2019 summer — Computer Vision hackathon for an image inpainting task between students of Moscow universities.