Владислав

Vladyslav Panasiuk
[відкрити контакти](див. вище в блоці «контактна інформація») ⎪ [відкрити контакти](див. вище в блоці «контактна інформація») ⎪ LinkedIn ⎪ GitHub ⎪ Portfolio
Ukrainian Citizen

Education
● Associate Degree in Software Engineering from Volyn Professional College of NUFT 2024 - 2028

Work experience
Python Developer, Freelance, @shukach_kvartyr_bot June 2026 to Current

● Built an automated real estate aggregation platform using Python, FastAPI, MongoDB, and Redis to
collect rental listings from OLX, LUN, Telegram, and Facebook, delivering filtered, real-time notifications to
users.
● Developed stealth web scrapers using Patchright (Playwright), curl_cffi, BeautifulSoup4, and rotating
proxy system to bypass anti-bot detections, Cloudflare protections, and rate limits.
● Implemented multi-worker architecture and containerized workflow using Docker Compose to advance
scraping pipelines.
● Managed Linux infrastructure on a VPS, handling CI/CD, monitoring with Grafana, and hardening to
ensure reliable uptime.
● Integrated Monobank API with webhook verification, automated trial enforcement, and scheduled retention
discount campaigns to automate subscription monetization.
● Conducted code reviews to validate quality, maintainability, and architectural consistency across the
codebase.

Selected projects
fastapi-nosql-starter

● Designed and built an asyncronous REST backend architecture using Python, FastAPI, MongoDB and
Redis, providing high-performance NoSQL application with authentication, caching, API protection, rate
limiting, and monitoring support.
● Architected an assymetric JWT authentication, distributed caching and traffic strategies using Redis and
SlowAPI to manage rate limiting, and session storage.
● Containerized the application with Docker Compose, and configured an Nginx reverse proxy for
streamlined deployment and traffic routing.

hwmonitor

● Developed a lightweight hardware monitoring CLI for Linux using C, lib_curl, and Makefile, collecting CPU,
RAM, GPU, storage, and battery metrics directly from kernel without overhead resource consumption.
● Integrated JSON export and Groq API diagnostics to analyze hadware health and provide metrics feedback.

Technical skills
● Languages:
Primary: Python, C, C++
Familiar: JavaScript, TypeScript, SQL
● Backend: FastAPI, Flask, Pydantic, SlowAPI, AsyncIO, REST API, OAuth 2.0, Webhooks
● Databases: MongoDB, Redis, PostgreSQL, SQLite
● Infrastructure & Cloud: Docker, GitHub Actions, Render, VPS, CI/CD Pipelines
● Testing & Monitoring: Pytest, Playwright, Selenium, Grafana
● Automation & Scraping: Aiogram, Telethon, BeautifulSoup4, Playwright, curl_cffi
● Computer Vision: OpenCV, YOLO
● Embedded: STM32, ESP32
● Linux & Virtualization: Linux (Debian / Arch), QEMU, VirtualBox, VMware
● Tools: Git, Uvicorn, UV, tmux, vim, kitty, alacritty

Languages
● Ukrainian (Native)
● English (Upper-intermediate)

Certifications
● The 2026 ICPC Western Ukraine Contest
ICPC - Issued: 03.10.2026
● Embedded Software Engineer
Mint Innovations - Issued: 30.01.2026
● CyberHackathon CTF 2026 (1st place)
Lutsk National Technical University - Issued: 20.04.2026
● AI Olympiad ICOA 2026 CTF - (3rd place)
Igor Sikorsky Kyiv Polytechnic Institute - Issued: 19.05.2026
● EIT Deep Tech Talent Initiative
JA Europe - Issued: 01.06.2026
All certificates are available on LinkedIn