Aleksandr S.

Automation & Integration Engineer | Python, Docker, PostgreSQL, AI

I engineer high-performance Python systems, DevOps infrastructure, and end-to-end automation pipelines that are fast, secure, and production-ready. 𝗢𝘃𝗲𝗿 𝟱 𝘆𝗲𝗮𝗿𝘀 𝗶𝗻 𝗯𝗮𝗰𝗸𝗲𝗻𝗱 𝗱𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁, 𝗮𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗼𝗻, 𝗮𝗻𝗱 𝗔𝗜/𝗩𝗼𝗶𝗰𝗲 𝘀𝘆𝘀𝘁𝗲𝗺𝘀 of building distributed Python services, Telegram-based platforms, data pipelines, and RAG-powered assistants. I design, deploy, and secure production systems on VPS, Docker environments, APIs, and cloud tools. What I bring: ➣ Python backend: FastAPI, Django, asyncio, microservices, real-time callbacks ➣ DevOps & infrastructure: Linux (Ubuntu/Debian), Docker, SSL/TLS, security hardening ➣ AI integration: ChatGPT API, embeddings, Qdrant (vector DB), RAG systems ➣ Voice tech: audio → text → AI → speech response ➣ Advanced automation: n8n workflows, webhook orchestration, external APIs ➣ Databases & storage: PostgreSQL (schemas, indexing, optimization), file storage, metadata systems ➣ Telegram platform engineering: high-load bots, file routing, moderation logic, multistep workflows Key achievements: ⚡️ 𝗥𝗲𝗱𝘂𝗰𝗲𝗱 𝗟𝗮𝘁𝗲𝗻𝗰𝘆 𝗶𝗻 𝗩𝗼𝗶𝗰𝗲→𝗔𝗜→𝗧𝗩𝗦 𝗽𝗶𝗽𝗲𝗹𝗶𝗻𝗲𝘀 𝗯𝘆 𝟮𝟱–𝟰𝟬% through async processing & caching in FastAPI 🚀 Built distributed Telegram bot architecture handling large media volumes & high concurrency 🔒 Hardened VPS servers with firewall rules, HTTPS automation, private service networks & backups 📦 Migrated multi-GB datasets into PostgreSQL with optimized indexes and metadata layers 🤖 Automated complex business workflows using n8n: event routing, bot logic, file processing 📈 Designed vector search systems with Qdrant enabling fast semantic retrieval in chat/voice apps Recent Projects: ▪️ AI Voice Assistant Platform (NDA, B2B) ➨ engineered Python + FastAPI backend for voice queries; built full pipeline: STT → embeddings → RAG → ChatGPT → TTS; optimized latency; deployed in Docker. ▪️ Telegram Automation Suite ➨ created scalable Telegram → n8n → backend architecture handling files, moderation flows, user metadata, and async notifications. ▪️ Distributed File Storage System ➨ implemented MEGA API automation: uploads, metadata, MD5 hashing, secure storage; integrated with PostgreSQL and backend services. ▪️ Real-Time AI Backend for Chat Platform ➨ built Qdrant-powered RAG system with embeddings, metadata filtering, and vector search for instant responses. ▪️ VPS Infrastructure Setup ➨ deployed Dockerized PostgreSQL, n8n, FileBrowser, pgAdmin; implemented SSL, firewalls, redundancy, and system monitoring. ▪️ Workflow Automation for Operations (NDA) ➨ architected webhook-driven pipelines to connect external APIs, process events, and trigger business logic reliably. Tech proficiencies: 𝗟𝗔𝗡𝗚𝗨𝗔𝗚𝗘𝗦 - Python, JavaScript (Node.js for integrations) 𝗕𝗔𝗖𝗞𝗘𝗡𝗗 - FastAPI, Django, asyncio, REST, WebSocket, Webhooks 𝗔𝗜 / 𝗩𝗢𝗜𝗖𝗘 - ChatGPT API, Whisper/STT-TTS APIs, Qdrant, embeddings, RAG 𝗗𝗔𝗧𝗔𝗕𝗔𝗦𝗘𝗦 - PostgreSQL (schemas, indexing, optimization) 𝗔𝗨𝗧𝗢𝗠𝗔𝗧𝗜𝗢𝗡 - n8n, custom workflows, API integrations 𝗖𝗟𝗢𝗨𝗗 & 𝗗𝗘𝗩𝗢𝗣𝗦 - Docker, Linux, SSL/TLS, firewall, security, monitoring 𝗧𝗘𝗟𝗘𝗚𝗥𝗔𝗠 - bot infrastructure, callbacks, file routing, moderation logic 𝗧𝗢𝗢𝗟𝗦 - Git, Postman, pgAdmin, monitoring tools, Docker logs/inspect/networks