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Николай
Андреев

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0.00
Reputation
9
Finished gigs
0
Finished jobs
0
Website
github.com
Country
Not specified
Specialization
фикс-проекты
Hourly rate
$30/hr
Preferred payment options
Ethereum
USDT
AUDT
USDC
DAI
BNB Chain
USDT
USDC
DAI
BUSD
Polygon
DAI
Fantom
USDC
DAI
Base
USDC
About me
Python developer & DevOps engineer specializing in crypto trading bots and automation. I run a private 10+ server Linux farm 24/7 and build production-grade trading systems. Specialties: multi-exchange grid & arbitrage trading bots (Binance, OKX, Bybit, Gate, KuCoin, Bitget, HTX, MEXC via CCXT), Telegram bots, listing snipers, market/pump scanners, exchange API integrations (REST + WebSocket). I handle the hard parts: order management, fill reconciliation, crash recovery, stop-loss, and 24/7 unattended operation with monitoring and alerts. Reliability-first — bots that survive restarts and API failures, not fragile demos. Tech: Python (asyncio), CCXT, aiogram/Telethon, WebSocket, local LLM (Ollama), Linux/Docker/Windows. https://github.com/mjasuhaby

Work experience

Self-employed / Private server farm
January 2021 – Current time
Job title
Python Developer & DevOps Engineer
Work experience & achievements
Operating a private server farm with 10+ Linux servers running 24/7. Developed and deployed multiple Telegram bots, AI assistants, monitoring systems, and cryptocurrency nodes. Key achievements: • Built 10+ Telegram bots in production using aiogram and python-telegram-bot • Deployed a self-hosted AI assistant powered by Ollama (Qwen 3, Llama 3) running on RTX 5090 GPU • Set up multi-node infrastructure for Autonomys, Titan Network, GenLayer, Canopy, and Quai blockchains • Developed a cross-platform server management system: Go backend + C#/.NET 9 Windows agent + Android client • Created automated monitoring with Telegram alerting for all servers • Implemented watchdog scripts with auto-restart for critical services

Education

Self-taught — Online courses and official documentation
Graduation year: 2023
Level of study
Bachelor
Major / Field of study
Computer Science — Python Development, Linux Administration, DevOps