Middle ML Engineer @ Sber · Kaggle Expert · Stepik streak: 589 days
I build applied ML systems across healthcare, computer vision, multimodal AI, and product engineering.
Constantly learning, building, and sharing.
Languages & Data
ML & Infrastructure
| Project | Description | Stack |
|---|---|---|
| startup / Synthezum | University tech entrepreneurship platform connecting researchers, labs, organizations, vacancies, and scientific requests | FastAPI React PostgreSQL Elasticsearch |
| img2txt | Clinical description microservice for skin-cancer-ai: dermoscopy features, ranking, and LLM-based report generation |
Medical AI Computer Vision LLM |
| LDT | Real-time CTG analysis system for early detection of fetal hypoxia risk | Python ML Signal Processing |
| skin-cancer-ai | Melanoma detection pipeline with dermoscopy analysis and clinical description generation | Computer Vision Healthcare Docker |
| Practice | Early pneumonia diagnosis system based on chest X-ray images | Deep Learning Medical Imaging FastAPI |
| SimpleAutoML | Lightweight AutoML system for computer vision experiments | AutoML CV Python |
| Sber Grace Assistant | Local finance monitoring assistant with SMS parsing, background jobs, and LLM-driven recommendations | Python Ollama Automation |
Now: Building scientific hiring platforms, medical AI tooling, and practical LLM-assisted automation.
| Badge | Description |
|---|---|
| Kaggle Expert | Active participation, shared solutions and notebooks |
| Stepik | Daily learning streak: 589 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.