Middle ML Engineer @ Sber · Kaggle Expert · Stepik streak: 525 days
I don't just write code — I solve real-world problems in healthcare and computer vision.
Constantly learning, building, and sharing.
Languages & Data
ML & Infrastructure
| Project | Description | Stack |
|---|---|---|
| LDT | Real-time CTG analysis system for early detection of fetal hypoxia risk | Python ML Signal Processing |
| skin-cancer-ai | Melanoma detection using Kittler's method | Computer Vision Healthcare |
| Practice | Early pneumonia diagnosis based on chest X-ray images | Deep Learning Medical Imaging |
| SimpleAutoML | AutoML system for computer vision tasks | AutoML CV |
Now: Building a unified platform for scientific hiring. Sometimes in PM mode.
| Badge | Description |
|---|---|
| Kaggle Expert | Active participation, shared solutions and notebooks |
| Stepik | Daily learning streak: 525 days (auto-updated from profile) |
| Education | See Education section below |
- MEPhI — National Research Nuclear University
- Samsung Innovation Campus — educational track (AI / Big Data)
- Newprolab — DE Path (Data Engineering, Spark)
If you find any of my projects useful — a star would mean a lot.