Yura S.

I build production web applications, SaaS products, backend systems, APIs, Telegram bots, internal business tools, and AI-powered automation. My core specialization is Python backend engineering, but I can also take a product through the full technical lifecycle: architecture → backend → database → frontend → integrations → AI → deployment I work mainly with Python / FastAPI / PostgreSQL / Redis, and build frontend applications with React + TypeScript. What I can help with: • Python backend development and REST APIs • SaaS and MVP development • React / TypeScript web applications, dashboards and admin panels • Telegram bots and Telegram-based automation • Background jobs, queues and asynchronous workflows • Third-party API integrations, webhooks and OAuth 2.0 • Data collection, processing and synchronization pipelines • AI/LLM functionality inside real software products • AI assistants, tool-based workflows and structured LLM processing • Audio/video transcription and AI processing pipelines • Browser automation with Playwright • Debugging, architecture audits and stabilization of existing systems • Legacy application recovery and modernization • Linux/VPS deployment and production environment setup • Core stack Backend: Python, FastAPI, SQLAlchemy, Celery, Node.js, TypeScript, Fastify Frontend: React, TypeScript, JavaScript, Vite, HTML, CSS Data: PostgreSQL, Redis, SQLite, Supabase, Alembic Integrations: REST APIs, webhooks, OAuth 2.0, Telegram API, Telethon, Google APIs, SendPulse API AI: OpenAI API, Claude, Whisper / faster-whisper, structured outputs, LLM workflows Automation: Playwright, FFmpeg, browser and data automation Infrastructure: Linux, Docker, Docker Compose, Nginx, systemd, RunPod, Git/GitHub I also have experience working with existing and legacy codebases, including .NET/Xamarin and PHP/Magento. Selected experience • Production Python backend using FastAPI, PostgreSQL, Redis, async processing and external AI/API integrations • Google Business Profile API + OAuth integration and SaaS preparation for Google API verification • Telegram automation using Python + Telethon + SendPulse API • AI Telegram service using Celery, Redis, Whisper, OpenAI and automated PDF generation • Document-processing pipelines combining direct extraction, OCR/Vision and structured LLM processing • Browser automation with Playwright • Recovery, debugging and technical audit of complex legacy applications • Media processing pipelines using TypeScript / React / FFmpeg How I approach development I first understand the actual business process behind the technical requirements. Then I work through: analysis → architecture → implementation → testing → deployment → documentation When joining an existing codebase, I prefer to identify the root cause and define the smallest safe scope of change before rewriting anything. I use AI coding tools and LLMs extensively during development, but I treat them as engineering tools — not as a substitute for architecture, validation, testing or production responsibility. If you need a developer who can handle both the software engineering side and the AI/integration layer of a product, feel free to send me the requirements or the current architecture.