I build and study machine learning systems—especially deep learning, audio, and language models.
Most of my repos are learning-by-building projects: implementations, experiments, and notes.
- 🤖 Language models (GPT-style, tokenization, training loops)
- 🔊 Audio ML (Wave-U-Net, enhancement, representations)
- 🧠 Fundamentals (backprop, activations/gradients, MLPs)
- 🛠️ Practical projects (apps + tooling when it helps)
- If a repo looks “small”, it’s usually a focused experiment.
- For larger repos, check the README first, then
configs/,scripts/, and notebooks.
- 📌 Trarity