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idrisibrahimerten/README.md

Hi 👋, I’m İdris İbrahim Erten

Software Developer

I am a software developer specialized in AI-powered systems, data automation, and high-traffic web platforms. I have expertise in the Python (FastAPI, Django) and JavaScript (Node.js, React, Next.js) ecosystems, delivering scalable solutions through real-time architectures, API design, and AI/ML integrations. I focus on adding tangible value to business processes by contributing to technical leadership, project planning, and end-to-end product development.

  • 🔭 Currently building
    • Whaleswap AI — AI-powered analytics & copy-trading for crypto
    • Expo-based AI chat app (settings, “last searched” memory, Teach system, admin/mod tools, badge/profile support, SQLite backend)
  • 🌱 Learning & exploring Go, FastAPI, LangChain, Rust & advanced ML-Ops
  • 📝 Articles & insights: Medium
  • 💬 Ask me about: Python, Node.js, Go, React/React Native, microservices, event-driven architectures, agentic AI, IoT integrations
  • 📧 Email: [email protected]

Connect with me

Tech Stack & Tools



Why Work With Me?

  • 🌍 Proven impact in crypto, solar-energy IoT, web technologies & automation
  • 🤝 Fast, reliable & highly collaborative—strong product sense from concept to launch
  • 🚀 Eager to tackle complexity: from microservices and agentic AI to full-stack mobile/web apps

Let’s build something awesome together!

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  1. whaleswap-ai-case-study whaleswap-ai-case-study Public

    AI-powered multi-exchange crypto copy trading platform with real-time analytics, secure API integration, and portfolio management. Built for scalability, speed, and transparency.

  2. academic-search-engine academic-search-engine Public

    A Python CLI tool that accepts a research topic and number of articles, then automatically queries Google Scholar, Dergi Park, and (optionally) ScienceDirect to return direct links to academic papers.

    Python 1

  3. neighborhood_housing_sales_analysis neighborhood_housing_sales_analysis Public

    Analyze neighborhood-level home sale data to uncover price patterns and trends. Explore how property features (size, age, amenities) and location factors influence sale prices, and produce clear vi…

    Jupyter Notebook

  4. react-tailwind-ecommerce-website-project react-tailwind-ecommerce-website-project Public

    JavaScript 2