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Youssef Samir
@youssef_samir_0
Machine Learning Engineer
Ägypten
Englisch, Arabisch
Über mich
I’m Youssef Samir, an Applied Machine Learning & Systems Engineer building high-performance models, low-latency pipelines, and production software in Python and C/C++. I specialize in real-time anomaly/fraud detection and mathematical optimization.
• ML & Deep Learning: Train/fine-tune using TensorFlow, Scikit-Learn, XGBoost.
• Anomaly & Fraud Detection: Real-time systems with low false positives.
• Data Pipelines: High-throughput ETL via Pandas, NumPy, SQL.
• Model Optimization: Maximize Precision, Recall, AUC-ROC.
• Desktop Applications & UIs: Cross-platform Qt GUIs with DB integration.
Kompetenzen
Youssef Samir
offline •
Meine Dienstleistungen
Beratung für Datenwissenschaft
I will develop python ml models for predictive analysis
Arbeitserfahrung
R&D ML Engineer
Oracle • Vollzeit
May 2026 - Present • 4 mos
• Develop and maintain supervised and unsupervised ML models (Isolation Forests, XGBoost) to detect high-risk anomalies and fraud patterns across real-time financial transaction streams. • Engineer low-latency feature extraction pipelines using Pandas, NumPy, and TensorFlow to process high-throughput data and accelerate real-time risk scoring. • Evaluate and fine-tune model precision and recall using Scikit-learn, optimizing alert thresholds to minimize false-positive rates in financial crime detection workflows. • Build and automate data validation scripts using Python, ensuring consistent input data quality and reliable model evaluation across transaction processing pipelines.
