• Languages: Python 3, SQL (PostgreSQL, MySQL), HTML5, CSS3 (basic)
• Frameworks: FastAPI, Flask (basic)
• Python libraries: pandas, numpy, openpyxl, requests, logging, sklearn (basic)
• ML/AI: OpenCV, YOLOv8, SileroTTS, llama.cpp, spaCy (ru_core_news_sm)
• GUI: PyQt5, PyQt6
• Automation: Excel processing, data parsing, working with API
• Tools: Git/GitHub, Docker (basic), Linux (Ubuntu), REST API

1. Subota: Asynchronous Event-Driven Automation Platform (MVP). Evolution & Architecture (v1.0 > v3.0): The project evolved from a synchronous voice assistant (v1.0) into a highly modular, scalable platform. Subota 3.0 is built on a resilient Asynchronous (asyncio) core with a dedicated Event-Driven Architecture (EDA). Redis Pub/Sub serves as the central orchestrator and message broker, ensuring loose coupling and non-blocking communication between components.

   • Functionality & Features:

     • Unified I/O: Supports interaction and command processing via Telegram, a web interface (FastAPI), a REST API, and a console. All output (notifications/voice) is routed to the originating channel.

     • Voice Assistant: Integrates high-performance voice recognition (Vosk) and synthesis (SileroTTS, with optimized delays). Features include an own NLP script for voice control, and connection to LLMs (e.g., Mistral-7b-instruct).

     • Computer Vision & Security: Includes real-time Computer Vision capabilities (OpenCV, YOLOv8) for human, motion, and dangerous situation detection (e.g., person with a weapon).

     • Automation: Manages smart home functions (virtual/physical device management), advanced task scheduling, monitoring (battery charge, network health), and custom script execution.

   • 
     

     • Reliability & System Maturity:

     • Security: Implemented JWT authentication and robust RBAC (Role-Based Access Control) for managing user permissions.

     • DevOps/System Health: Features a dedicated metrics collection system (PostgreSQL), comprehensive Health Checking, a Watchdog for automatic service restarts, and a Graceful Shutdown mechanism.

     • Code Quality: Implemented a universal real-time notification center (WebSockets), scheduled backups, and utilizes a full CI/CD cycle (tested extensively with Pytest).

     • Tech Stack: Python 3.10+, FastAPI, Redis (Event Bus), PostgreSQL, SQLAlchemy/Alembic, Docker, OpenCV, YOLOv8.Project Objective: Creating a private, extensible ecosystem where all logic runs locally, granting the user full control over data and functionality.

2. File_checker — corporate Excel parser. Python, pandas, openpyxl, PyQt5- Automation of order processing in Excel: division of the "order canvas" into tabs.- Generation of up to 36 price lists for different regions and warehouses with preservation of formatting and protection of cells.- Automatic assignment of customs codes (UKTZD) to invoices.- Preparation of orders for uploading to Microsoft NAV using the required templates.- Interface in PyQt5, the project is compiled into .exe for end users.
3. OSBB_maintense — housing and communal services accounting system. FastAPI, SQLAlchemy, Argon2, Fernet, PyQt6- Server part: FastAPI + SQLAlchemy + JWT (jose) with support for authorization, data encryption (argon2, Fernet, hashlib).- Server optimization for deployment on free hosting (PythonAnywhere).- Telegram bot integration is planned for transmitting meter readings, receiving receipts and reminders.- Client part: developed on PyQt6, with the possibility of porting to Android.
4. PC Screen Saver. Python, Pygame Screensaver with support for multiple monitors, full-screen display and graphic effects. GitHub(https://github.com/Karlsonte/pc_screen_saver)
5. Chemical Atom View. Python, Pygame Interactive application for visualizing atoms and bonds. GitHub(https://github.com/Karlsonte/Chemical_atom_veiw)
6. Telegram Shop Bot Python, aiogram, SQL. Prototype of a bot for selling goods: viewing, adding, processing orders.

Python Developer with experience in creating pet projects (FastAPI, SQLAlchemy, PyQt, Telegram Bot API, Pygame, Computer Vision, NLP). I have over 10 years of experience in analytics, automation and process management in industry. I have developed Python projects for working with APIs, databases, computer vision and automating Excel file processing. I am looking for a Python Developer position to apply my skills in commercial development and develop in the backend direction.