• 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 3.0 — A Multifunctional Local Assistant and Automation PlatformArchitecture: Designed and implemented a highly modular, asynchronous (asyncio) system with an event-driven architecture based on Redis Pub/Sub. The core acts as a central orchestrator, ensuring loose coupling and resilience across components.Functionality: The platform integrates voice assistant (Vosk recognition, Silero synthesis), smart home (virtual/physical device management), monitoring, and task scheduling functions. Supports interaction via Telegram, a web interface (FastAPI), a REST API, and a console.Security and Reliability: Implemented JWT authentication, RBAC (Role-Based Access Control), a metrics collection system (PostgreSQL), health checking, a watchdog for automatic service restarts, and a graceful shutdown mechanism.Key technologies: Python 3.10+, Redis, PostgreSQL, FastAPI, SQLAlchemy/Alembic, Docker. Implemented a universal real-time notification center (WebSockets), backups, and a full CI/CD cycle (tested with pytest).Project Objective: Creating a private, extensible ecosystem where all logic runs locally, and the user retains full control over data and functionality.
2. Subota (1.0 & 2.0) — voice assistant. Python, OpenCV, YOLOv8, aiogram, SileroTTS, llama.cpp- Computer vision: human, motion, dangerous situations (human with a weapon) detection.- Voice control: mathematical operations on own NLP script, LLM connection (mistral-7b-instruct).- Voice output via SileroTTS (optimized delays from 1s > 0.15–0.35s).- Integrations: Telegram bot (aiogram) and email notifications (google.oauth2, email.mime).- Additional: battery charge monitoring (psutil), shutdown at <20%, weather forecast with correct declensions.
3. 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.
4. 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.
5. 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)
6. Chemical Atom View. Python, Pygame Interactive application for visualizing atoms and bonds. GitHub(https://github.com/Karlsonte/Chemical_atom_veiw)
7. 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.