Yehor Shapovalov

Python Developer with 3+ years of commercial experience.

Tech stack:

• Backend: Python (FastAPI, Django, Celery)
• Frontend: React, Next.js (App Router, SSR/SSG), TypeScript, Tailwind CSS
• Databases: PostgreSQL, MongoDB, Redis, SQLAlchemy + Alembic
• AI/LLM: OpenAI, Anthropic, Google Gemini APIs, prompt engineering
• Telegram: aiogram 3.x, Pyrogram, Telethon, Mini Apps
• DevOps: Docker, Railway, Nginx, Cloudflare, Linux servers
• Scraping: Playwright, Selenium, anti-detection setups

My experience includes:

• Built and maintained a web automation project using Python and Selenium for 3 years. It brought in over $90,000 during that time. At its peak, the project ran on 120 servers with Windows Server OS, managed via RDP.
• Built over 20 Telegram bots. The biggest one was a bot for a traffic arbitrage course with 7,000+ active users. It worked as an educational platform for students and had a wide range of admin features, including Facebook CAPI integration for running ads and a UTM tag system for end-to-end analytics.
• Built full web applications from scratch. The most recent one is a CRM system with Zoom, Telegram, and Google Meet call integration so managers can communicate with leads. It has a fully functional Telegram integration (including calls) with a custom chat built into the interface - synced with Telegram in real-time, supporting all types of media files and attachments. Also integrated AI (Google Gemini API) to analyze call transcriptions, generate summary reports, and build a psychological profile of each lead, including Lead Score.
• Built data scrapers. The largest project involved scraping from 50 different sources - stores on the accsmoll.com marketplace - to generate daily, weekly, and monthly market statistics.
• Built cross-platform desktop utilities for Windows x64, macOS Intel, and macOS M-chip.
• Managed Windows Server (RDP) and Linux/Ubuntu VPS servers. Set up Cloudflare, registered domains, configured DNS records, SSL certificates, and Anti-DDoS rules.
• Set up integrations for the media buying team using Keitaro and Binom trackers for traffic sources like Google, Facebook, and Moloco. This included connecting affiliate networks and app providers, building landing pages, and creating campaigns with S2S postbacks and traffic distribution rules.