About Me

Jack of all trades, master of "some"

Backend Developer with more than 15 years of well-rounded experience with a degree in the field of Computer Science, extensive knowledge of modern Web techniques. Welcome to my corner of the web! I'm Vladimir, a passionate backend developer with a keen interest in crafting robust and efficient solutions. With a strong foundation in NodeJS and a knack for web scraping, I specialize in turning ideas into functional and dynamic web applications. Whether it's optimizing database queries or delving into the intricacies of web technologies, I thrive on tackling challenges and bringing innovative projects to life. Explore my portfolio, delve into the code, and join me on this exciting journey through the ever-evolving world of software development.


Address: Vilnius, Lithuania
Blog: Blog

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Node.js TypeScript NestJS VueJS JavaScript Ruby HTML5 CSS3 Bulma Bash Git Redis MySQL MongoDB Postgres

30 days of Postman - for developers

Awarded: Feb 14, 2022

Awarded To: Poplavskij Vladimir



What can I do for you?

Node.js Web Scraping Service

Unlock the power of data with our cutting-edge Node.js Web Scraping Service! I harness the flexibility and speed of Node.js to scrape, extract, and deliver valuable data from the web. Whether you need real-time updates, comprehensive market research, or competitive intelligence, our Node.js experts ensure seamless and efficient extraction.

Key Features:
  • 🌐 Scalable and Fast: Leverage the asynchronous nature of Node.js for rapid and scalable web scraping.
  • 🛠 Custom Solutions: Tailored web scraping solutions to meet your specific data requirements.
  • 🛡 Robust Error Handling: Built-in mechanisms to handle errors and ensure data accuracy.
  • 📈 Real-time Updates: Stay ahead of the curve with real-time data extraction and updates.
  • 🔄 Continuous Monitoring: Set up automated scraping schedules for continuous monitoring.
Technologies I Use:
  • Node.js
  • Cheerio or Puppeteer for HTML parsing and automation
  • Express.js for building RESTful APIs
  • MongoDB for storing and managing scraped data

Node.js API CRUD Application

Transform your data management with our cutting-edge Node.js API CRUD application powered by the Express framework. Ideliver robust and scalable solutions to handle Create, Read, Update, and Delete (CRUD) operations with ease. Whether you're building a dynamic web application or need a backend system to manage your data, our Node.js experts have you covered.

Key Features:
  • 🌐 RESTful Architecture: Our API follows RESTful principles, providing a standardized and efficient way to interact with your data.
  • 🚀 Fast and Scalable: Utilizing the power of Node.js, we ensure rapid and scalable performance to handle your growing data needs.
  • 🛠 Flexible and Customizable: Tailor the API to your specific requirements. Add new endpoints, customize data models, and integrate seamlessly with your existing systems.
  • 🛡 Robust Validation: Implement robust data validation to ensure the integrity and security of your data.
  • 📈 Real-time Updates: Utilize WebSocket integration for real-time updates, ideal for applications that demand instant data synchronization.
Technologies We Use:
  • Node.js: Harness the asynchronous nature of Node.js for efficient handling of concurrent requests.
  • Express.js: Build a powerful and flexible API with the widely adopted Express framework.
  • MongoDB or SQL Database: Choose between NoSQL (MongoDB) or SQL databases for efficient data storage and retrieval.

Python Web Scraping Service

Empower your business with our Python Web Scraping Service – your gateway to extracting valuable insights from the web effortlessly! Using Python's robust ecosystem for web scraping, providing you with accurate and up-to-date data for informed decision-making.

Key Features:
  • 🕸 Versatility: Python's extensive libraries make it easy to scrape data from websites, APIs, and more.
  • 🤖 Automation: Utilize tools like BeautifulSoup and Selenium for automated data extraction and interaction.
  • 📊 Data Analysis: Seamlessly integrate scraped data with Python's data analysis tools for actionable insights.
  • 🛡 Error Handling: Robust error handling mechanisms to ensure data accuracy.
  • 🚀 Scalability: Scale your web scraping operations effortlessly with Python's multiprocessing capabilities.
Technologies We Use:
  • Python (BeautifulSoup, Selenium, Scrapy)
  • Flask or Django for building web applications or APIs
  • MongoDB or SQLite for data storage

Back End Web Development

Develop Back End application/service using Node.js or Python and SQL server or Mongo DB databases.


More about my past

Download My Resume


My latest works

Szawl.eu visit