I’m a self-taught AI enthusiast exploring Deep Learning and AI in depth, building and experimenting with models, algorithms and end-to-end systems, all built from scratch.

• 🚀 Deep Learning Framework (repo)

  • From scratch with NumPy
  • Autodiff engine
  • Modular API
  • Implementations of CNNs, LSTMs, FNNs
  • Toy demos like Shakespeare, MNIST or Titanic

• 🧠 Transformer Variants (repo)

  • Encoder-only Transformer
  • Convolutional low-rank approximation of attention
  • Improvement of stability and efficiency
  • Extended abstract redaction

• 🎮 NeuroEvolution (repo)

  • NEAT framework
  • Experiments with toy environments

• 📑 iXBRL and LLMs (research project in development)

  • Parsing of financial filings
  • Dataset creation
  • Benchmarking
  • Self-supervised learning
  • Financial analysis