I'm focused on understanding and building Computer Vision and Deep Learning systems, from mathematical foundations to practical applications.

• 🔬 Exploring CNNs, model optimization, and generalization
• 👁️ Working on image classification and object detection
• 🧮 Studying the mathematical foundations of machine learning
• 🛠️ Building reproducible and modular deep learning systems
• 🚀 Currently developing MNISTVision and AI-Math

Deep Learning

• CNNs
• Optimization & Regularization
• Transfer Learning
• Model Training

Computer Vision

• Image Classification
• Object Detection
• Image Processing

Research & Engineering

• Experiment Tracking
• Reproducible Training
• Mathematical Foundations
• Modular Architecture

machine learning and deep learning.

A structured computer vision project focused on CNN architecture, training, configuration management, and experiment tracking.

🚧 MNISTVision is currently under active development.

Languages Python Bash

Deep Learning PyTorch NumPy

Computer Vision OpenCV Scikit-learn

Data & Visualization Pandas Matplotlib

Engineering Linux Docker Git

I'm interested in building AI systems that are not only functional, but also understandable, reproducible, and efficient.

Current interests:

• CNN architecture and optimization
• Generalization and regularization
• Computer vision systems
• Mathematical foundations of deep learning
• Building models from the ground up