Ilya

Artiukhin

Independent Python developer specializing in automation, bots, and data solutions for small businesses and Web3 projects. KEY DELIVERIES: • Built Telegram and Discord bots for appointment booking, lead generation, and crypto community management using aiogram and discord.py. • Developed custom web scrapers for price monitoring, competitor analysis, and data extraction (CSV, Excel, SQLite). • Automated repetitive business workflows, saving clients 10+ hours per week. • Deployed solutions on Linux VPS with Docker for 24/7 uptime and automated backups. • Integrated REST APIs, payment gateways, and third-party services. STACK: Python, aiogram, vkbottle, BeautifulSoup, Selenium, SQLite, PostgreSQL, Docker, REST APIs, Streamlit. APPROACH: Clean, documented code. Fast delivery via AI-assisted workflows. 100% source code ownership transferred to client. NDA-friendly.

Worked at N.N. Andreev Acoustic Institute (JSC AKIN) — Russia's leading R&D institution in hydroacoustics and ocean acoustics. KEY RESPONSIBILITIES: • Engineered hardware-software complexes for underwater transponder beacons and acoustic positioning systems. • Developed bottom hydroacoustic receiver stations for real-time signal acquisition and underwater tracking. • Implemented signal analysis algorithms and data pipelines for high-volume acoustic telemetry. • Ensured fault tolerance and quality control for mission-critical marine systems. • Translated complex specs into reliable, field-tested solutions in cross-functional R&D teams. This engineering background instilled a structured approach to system architecture and data integrity. I apply this same rigor today to building fault-tolerant Python automation, backend systems, and Docker-deployed solutions.

NPP GIDRAK is an R&D enterprise focused on scientific research and development in natural and technical sciences, specializing in marine hydroacoustics and autonomous systems. CORE RESPONSIBILITIES: • Developed and field-tested Unmanned Surface Vessels (USV) for seismic survey operations. • Integrated multi-sensor hydroacoustic arrays with real-time telemetry modules for stable data streams. • Conducted on-site deployment and calibration of underwater positioning systems. • Troubleshot hardware-software interfaces and maintained rigorous technical documentation. This field engineering experience—deploying autonomous systems in unpredictable conditions—shaped my approach to software reliability. Today, I apply this zero-failure mindset to Python automation, API integrations, and Docker backend systems where uptime is non-negotiable.