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batuhanyilmaz1/README.md
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Welcome to my GitHub profile! I'm a passionate AI/ML & Backend Developer specializing in building intelligent solutions, scalable web backends, and system performance profiling. I bridge the gap between complex deep learning models, robust backend architectures, and efficient software execution.


🚀 About Me

I'm an engineer based in Turkey with a diverse tech stack focused on creating end-to-end, optimized software products. My workflow spans training complex Deep Learning architectures, wrapping them behind scalable Django REST Framework APIs, and optimizing application resource usage with Python and Concurrency.

  • 🤖 AI-Native Software Engineering: Designing pipelines from classical ML to advanced CNN/RNN stacks and computer vision workflows.
  • ⚙️ Systems & Performance: Deepening my skills in memory profiling, process instrumentation, and eliminating runtime bottlenecks.
  • 📦 Model Packaging: Transforming trained weights (PyTorch/TensorFlow) into clean, ready-to-deploy Python libraries with fallback-enabled context managers.

💻 Tech Stack & Badges

Core Languages & Ecosystem

  • Python
  • C#

AI / ML & Deep Learning Frameworks

  • TensorFlow
  • Scikit-learn
  • OpenCV
  • Pandas
  • NumPy

Backend & Infrastructure

  • Django
  • PostgreSQL
  • SQLite
  • Firebase
  • Docker
  • Git
  • Supabase

Mobile & Cross-Platform

  • Flutter
  • Dart

Web Development

  • JavaScript
  • HTML5
  • CSS3

🛠️ Engineering Focus & Specializations

  • High-Performance Inference: Optimizing Deep Learning models via ONNX/TFLite for efficient edge and backend deployments.
  • Systems Instrumentation: Writing Python tools utilizing asynchronous workers and custom context managers (__enter__/__exit__) to track application metrics.
  • Scalable Web Architectures: Building robust commerce cores, CRM applications, and real-time data pipelines backed by customized Django middleware, safe rate-limiting, and state-of-the-art payment integrations.

🎯 What I Do

  • ✅ Build efficient Full-Stack AI Applications
  • ✅ Design and scale production-ready RESTful APIs & Microservices
  • ✅ Engineer custom Systems Profilers & Performance Tracking Engines
  • ✅ Deploy Deep Learning architectures via On-Device Inference (TFLite)
  • ✅ Manage concurrent background workers using native Python Threading & Locks
  • ✅ Construct robust database schematics with PostgreSQL PL/pgSQL & Supabase

🤝 Let's Connect


📜 Words of Engineering

"As soon as an Analytical Engine exists, it will necessarily guide the future course of the science." — Charles Babbage

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    Flutter ile geliştirilmiş, yapay zeka destekli beyin MR tümör sınıflandırma uygulaması.

    Jupyter Notebook 4

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    Forked from Zwony/ecotrace

    A lightweight Python library to measure the carbon footprint of your code

    Python

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    Python Django ile geliştirilen bir E-Ticaret API

    Python