Efeberk Çeker
Backend Developer | Web Scraping & Data Automation
New to Contra
Efeberk is ready for their next project!
My client hired a freelancer to build this website: https://myliaveteriner.com/. However, the SEO tags are incorrect and the page speed is very slow. The client likes the current design and doesn't want any visual changes. My goal is to optimize the site and improve the Lighthouse scores from 60 to 91+ across all pages, without altering the design.
1
2
63
Data Mining Milestone: 9,450+ Hotel Leads Scraped Across Canada
I recently completed a comprehensive data extraction project on Upwork for a Canadian hospitality client, and the results are in! 🚀
The goal was to map out the hospitality landscape in Canada, specifically identifying properties utilizing Cloudbeds or Mews as their Property Management Systems.
🛠️ The Tech Behind the Scrape
Leveraging a custom-built scraper, I navigated through Google Maps to identify and verify leads. This wasn't just about quantity; it was about data integrity.
Total Scanned: 9,450 Hotels.
Focus: Tech-stack identification (PMS integration).
Delivery: A clean, actionable lead list ready for high-conversion outreach.
📈 Results & Impact
By filtering properties based on their software usage, the client can now execute a highly targeted sales strategy instead of "spraying and praying."
As a Full-Stack Engineer with a focus on high-performance backend systems, I love turning massive amounts of raw web data into strategic assets.
Need a custom scraper or a complex data solution for your business? Let's connect and build something efficient.
#DataEngineering #LeadGeneration #Scraping #Upwork #Cloudbeds #Mews #HospitalityTech #GoLang #Automation
0
44
Local AI for Business Transformation: Introducing Kuliss AI
While AI adoption is skyrocketing, cloud-based solutions often bring high subscription fees, unpredictable token costs, and data privacy concerns. These financial and security barriers prevent many businesses from fully integrating AI into their workflows.
To address these challenges, we are excited to release Kuliss AI as an open-source project today!
What is Kuliss AI? Kuliss AI is a high-performance desktop application designed to run Large Language Models (LLMs) locally on your own hardware. By leveraging the Ollama infrastructure, it integrates AI directly with WhatsApp, providing a seamless and secure communication bridge.
Why Choose Local AI?
💰 Cost Efficiency: Eliminate API and token fees. Send unlimited messages without worrying about the bill.
🔒 Data Sovereignty: Keep customer data and conversation history on your own local network, ensuring maximum privacy.
🚀 The Power of Lightweight Models: Achieve excellent results in technical support, lead generation, and marketing using efficient models like Google’s Gemma 4, even with low RAM requirements.
Technical Architecture: Built with a modern, performance-oriented stack:
Backend: Go
Frontend: Wails
Database: Native SQLite & PostgreSQL support for local data persistence.
Integration: Powered by the Whatsmeow library for WhatsApp Web communication.
⚠️ Note: This application is currently experimental, designed for businesses to test the potential of AI without financial risk. For commercial production environments, official API requirements should be considered.
We invite everyone interested in testing their own local AI assistant or contributing to the project to check out our GitHub repository.
👇 Project Details & Source Code: https://github.com/ECeKeR/kuliss-ai
0
107
Kuliss.com (http://Kuliss.com) – AI-Powered Listing & Reservation Marketplace
Kuliss.com (http://Kuliss.com) is a marketplace platform I built using Go that allows businesses to create listings and receive reservations from users.
The platform includes an AI-powered review analysis system that analyzes user feedback and provides structured insights for businesses and visitors.
Key features:
Business listing marketplace
Reservation (booking) system
AI-based review analysis
High-performance backend built with Go
Scalable architecture designed for large datasets
This project demonstrates my experience building high-performance backend systems, marketplace platforms, and data-driven applications.
0
79