This repository contains my machine learning and AI-related projects developed in Python.
This project includes implementations related to:
- Mathematical foundations of machine learning
- Neural network architectures
- Training pipelines for models
- Experiments combining cryptography and AI concepts
Implementation of elliptic curve operations over finite fields.
Used for experimenting with mathematical structures relevant to cryptography and ML feature modeling.
Definition of neural network architectures used for experiments.
Training pipeline including data flow, loss computation, and model optimization.
- Python
- NumPy
- (future: TensorFlow / Keras)
- Git & GitHub
The goal is to build a strong foundation in:
- Machine Learning engineering
- Deep Learning systems
- Mathematical modeling for AI
This is an evolving portfolio project.