AI Engineer · Full-Stack & IoT Developer · Applied ML
Building practical software at the intersection of sensors, data, health technology, and everyday tools. Based in Almaty, Kazakhstan; studying at KBTU.
Portfolio / CV · LinkedIn · Email
- Breez — air-quality monitoring: Raspberry Pi telemetry, PostgreSQL, AQI, map views, device status, and deployment.
- Phoenix — experimental knee-rehabilitation workflows integrating BLE wearables, motion sensors, and clinician-facing software.
- Aman AI — contributed to medical AI workflows, authentication/security hardening, and an MRI dashboard integration.
Breez and Phoenix are professional work; their private production source is not published here.
| Project | Focus |
|---|---|
| Barii | Offline-first EPUB/TXT reader with local notes, highlights, and progress (Flutter, SQLite). |
| Limmud | Local-first course workspace for videos, notes, and study tools (Tauri, Rust, React). |
| Patch75 | Offline algorithm practice and spaced review for Linux/Android (Flutter, Python). |
| PifPaf AI | Reel metrics dashboard with auth and PostgreSQL; explicit mock/live data modes (Next.js). |
| MiniGames | RS School game-discovery coursework: REST APIs, Firebase auth, tests — demo. |
| ZeroMotion | Privacy-oriented rehabilitation milestone hackathon prototype. |
More: codeSpaced (coding-problem reviews) · KzESA (student community website) · Sleep Command (sleep monitoring experiment).
- ZealRN Desktop / Web — local-first learning tools; features, security, tests, and documentation.
- University Information System — Java system and console workflows; merged team PRs.
- Asset Tracker — contributed Angular UI and backend setup improvements.
Stack: Python · TypeScript · React/Next.js · FastAPI · Flutter/Dart · PostgreSQL · Docker/Linux · Raspberry Pi/BLE
Education: B.Tech., Computer Systems and Software Engineering, KBTU (2024–2028).
Research: Co-author, Explainable Deep Learning for Pediatric Brain Tumor Segmentation Using Attention U-Net (IEEE SIST 2026).