Beshoy Gamal

Generative AI Trainee at Digital Egypt Pioneers Initiative – DEPI (2025-07 – Present)

Participating in an intensive training program focused on Generative AI, Large Language Models (LLMs), and applied machine learning techniques. Gaining hands-on experience with prompt engineering, fine-tuning, and deployment of AI models, as well as practical applications across NLP, computer vision, and multimodal systems.

Enhanced Security Measures: Increased credit card fraud detection accuracy by 20%, improving transaction safety and reducing false positives by 35% in real-world financial data.
Optimized Training Efficiency: Built a proprietary DNN training framework using NumPy, reducing model training time by 15% through optimized matrix operations and vectorization.
Image Classification Success: Achieved a 10% higher accuracy on Kaggle's Cats vs Dogs dataset using a CNN with data augmentation and dropout regularization.
Model Performance Improvement: Boosted Fashion MNIST classification accuracy to 87% through custom optimization, L2 regularization, and dropout.
Pipeline Automation: Automated preprocessing and evaluation pipelines, cutting manual data preparation time by 40% and ensuring consistent model reproducibility.
Model Deployment Optimization: Deployed trained models using lightweight Flask APIs, reducing inference latency by 25% and improving real-time performance.
Data Quality Enhancement: Implemented advanced data cleaning and feature engineering workflows, increasing overall dataset consistency by 30%.
Continuous Learning & Research: Conducted experiments with multiple optimizers (SGD, Adam, Momentum), improving convergence speed by 18% and model stability across training runs.

وظّف هذا الشخص

نبذة

الخبرة

التعليم

المهارات

التقييمات

أشخاص مشابهون بالقرب من Al fayyūm

Abdelrahman Abdelaziz

Toqa Fathy

أشخاص مشابهون

Abdo Sabrah

Ziad Ashraf

Zyad Ashraf Hafez

Mohamed Elashry

Mohamed Negm

Jehad Sabry

ذات صلة