I'm a Machine Learning Engineer focused on evolutionary computation and neural network architectures. My work explores specialized solutions like monotonic and ordinal neural networks.
- DLpy: An educational deep learning library with interactive notebooks exploring neural network fundamentals, PyTorch inspired
- DitheringApp: A web application for image dithering offering various algorithms and custom palette options
- pyevo: A Python library for evolutionary algorithms and genetic programming with visual examples of how can we use them
- magic_folder: A utility tool that automates file organization based on customizable rules and patterns
- Research on grammatical evolution for imbalanced classification problems
- Exploring monotonic constraints in Neural Networks
- Exo Run your own AI cluster at home with everyday devices
- Neural Network Architecture Design
- Constrained supervised Learning
- Semi/Unsupervised Learning Approaches
- Evolutionary Algorithms & Metaheuristics for Optimization
- Large Language Models
I write about investing in cyclical industries at Zero GCoS, focusing on:
- E&P Companies
- Shipping Industry
- Energy Markets
- Commodity Cycles