I'm a systems engineering student rebuilding my foundation from the ground up. No shortcuts, no copied tutorials—just real understanding.
What I'm doing:
- 📐 Implementing mathematical algorithms from scratch in Python
- 🧮 Strengthening fundamentals: linear algebra, calculus, probability
- 🤖 Learning AI theory the right way—understanding the math before the frameworks
- 🔨 Building projects I can actually explain
My approach:
Code is executable mathematics. Programming is a tool for scientific exploration, not just building applications.
| Mathematics | AI Theory | Implementation |
|---|---|---|
| Linear Algebra | Neural Networks (from math) | Python from scratch |
| Calculus & Optimization | Learning Algorithms | Algorithm visualization |
| Probability & Statistics | Deep Learning Theory | Mathematical modeling |
"The blacksmith hammers not because he wants to, but because it is his craft."