Hi, I'm Mostafa (Omid) 👋
Backend Software Developer and Automation Specialist focusing on asynchronous Python architectures, Telegram bot ecosystems, and AI model integration. Experienced in engineering high-throughput conversational funnels, integrating large language models (Google Gemini API), and automating backend processes linked with external APIs and databases.
🛠 Tech Stack & Tools Languages & Core: Python (Asyncio), C, SQL Frameworks & Libraries: Aiogram 3.x, SQLAlchemy, aiosqlite, Pydantic Databases: PostgreSQL, SQLite AI & Integration: Google Gemini API, Prompt Chaining, Rate-Limiting, ComfyUI, FLUX DevOps & Cloud: Linux (Ubuntu VPS), systemd daemons, Git/GitHub Actions, Webhooks Third-Party Services: Google Workspace APIs, Google Sheets API, Google Apps Script, MetaTrader 5 (MT5)
🚀 Featured Projects & Systems
- E-Commerce & Lead Capture Telegram Bot Ecosystem Core Stack: Python, Aiogram 3.x, SQLAlchemy, aiosqlite, Google Sheets API, Google Apps Script Architecture: Asynchronous event-driven architecture handling concurrent users and multi-stage finite state machines (FSM). Automated order and receipt processing, digital product fulfillment, and user session management. Real-time synchronization with Google Sheets as a headless CRM/database via Google Apps Script webhooks. Deployed in production on an Ubuntu VPS with systemd daemon supervision and persistent logging.
- Intelligent Customer Support & Routing Bot (@radicallsupportbot) Core Stack: Python, Aiogram, Asyncio, Webhooks Architecture: Two-way interactive ticket dispatching between customers and administrative agents. Media handling (photos, documents, verification files) with structured message queuing. Rate-limiting and error recovery middleware ensuring zero dropped events during network latency.
- AI-Powered Workflow Pipelines Core Stack: Python, Google Gemini API, REST APIs Architecture: Structured API pipelines using Google Gemini models for conversational assistants and dynamic text processing. Token and rate-limit management layers for resilient multi-turn interactions. Local image generation and creative pipelines utilizing ComfyUI and FLUX architectures.
🎓 Education & Background Harvard University (edX): CS50x - Introduction to Computer Science Academic Background: B.Sc. in Business Management & Health, Safety, and Environment (HSE) Operational Edge: Combining executive operational experience with software engineering to deliver high-ROI, reliable automation tools.
📬 Connect With Me GitHub: @patronsafety-create Focus: Open for Remote & Contract roles in Python Backend Development, Telegram Bots, and AI Integration.