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SharifDer/README.md

🚀 Sharif Derhem | AI Engineer & Backend Architect

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🔥 Technical Value Proposition

I build ML-powered systems with robust backend architecture, optimized for production reliability.

**🧪 Test First, Code Later — My Dev Flow **.

✅ Full ML Lifecycle: Pandas → Scikit-learn → FastAPI
✅ High-Performance APIs: Low latency Solutions
✅ Data Engineering: Polars/Numpy optimizations
✅ DevOps: CI/CD with 100% test coverage 		Coding Activity

🛠️ Technical Arsenal

🤖 AI/ML Core

🔧 Backend Stack

⚙️ DevOps

📊 GitHub Impact

🏆 Quantified Impact

🌐 Strategic Presence

"Shipping production ML is 10% algorithms, 90% engineering rigor"
Current Focus: Optimizing real-time feature pipelines with Polars,Pandas & Apache Airflow

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  1. Age_gender_detection Age_gender_detection Public

    A deep neural network model that predicts age,and gender from facial images. Built with TensorFlow and optimized for multi-task learning. Supports batch processing and real-time inference.

    Jupyter Notebook 1

  2. E-commerce-data-analysis E-commerce-data-analysis Public

    This project analyzes an e-commerce dataset to gain insights into customer behavior, purchasing patterns, and popular products. By studying transaction data, we can identify top-selling items, unde…

    Jupyter Notebook 2 1