AliAsghar Ebrahimi

Deep Learning Research Engineer | Computer Vision | AI Research

I work on deep learning and computer vision, with a focus on model architectures, optimization, training stability, and experimental research.

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Research Interests

• Deep Learning
• Computer Vision
• Neural Network Architectures
• Mathematical Foundations of Deep Learning
• Optimization & Training Dynamics
• Training Stability
• Model Evaluation
• Efficient Deep Learning

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Technical Skills

Programming

• Python
• C#
• Java Script
• HTML
• CSS

Deep Learning

• Neural Networks
• Convolutional Neural Networks (CNNs)
• PyTorch
• Forward & Backward Propagation
• Loss Functions
• Optimization
• Gradient Descent
• Gradient Analysis
• Vanishing Gradients
• Exploding Gradients
• Gradient Clipping
• Weight Initialization
• Kaiming Initialization
• Batch Normalization
• Training Stability
• Training Dynamics
• Model Evaluation
• Accuracy
• Precision
• Recall
• F1 Score
• Model Generalization

Computer Vision

• Image Classification
• Handwritten Digit Recognition
• CNN-based Image Classification
• Image Processing
• Computer Vision Pipelines
• Image Preprocessing
• Feature Extraction
• Model Evaluation

Scientific Computing

• NumPy
• Matploatlib
• Pandas
• Skitilern

Tools

• Git
• GitHub
• Docker
• Terminal
• Linux