Blog
I write about things I learn, projects I work on, and other cool stuff. Follow on X for updates.
Understanding Vision Transformers: From Scratch
A deep dive into the architecture of Vision Transformers, understanding attention mechanisms in the context of computer vision.
Self-Supervised Learning for Computer Vision
Exploring self-supervised learning techniques and how they can be applied to train robust vision models without labeled data.
Linear Algebra Essentials for Machine Learning
Key linear algebra concepts every ML practitioner should know, from the companion YouTube series.
📝 More blog posts coming soon! In the meantime, check out my YouTube channel for ML tutorials.