🎯 Executive Summary
const engineer = { name: "Khalid Yekini", location: "Nigeria | Global Remote", focus: { ai_ml_architecture: "60%", full_stack_engineering: "40%" }, current_mission: [ "Executing #100DaysOfCode consistently.", "Mastering core mathematical principles for deep learning.", "Researching & developing a proprietary Video Generation Model." ], engineering_philosophy: "Build intelligent systems. Ship real impact." };
📊 Live Coding Analytics
My GitHub stats dynamically reflect my current engineering focus. The language distribution below automatically updates based on the code I push, indicating whether Full-Stack or AI/ML is currently leading.
🛠️ Technical Architecture
📚 Architectural Reading List
To achieve my goal of building a video generation model, my current technical reading is strictly focused on advanced mathematics and deep learning:
Mathematics for Machine Learning by Marc Peter Deisenroth (Core Linear Algebra & Calculus foundation)
Deep Learning by Ian Goodfellow (The absolute gold standard for neural networks)
Grokking Deep Learning by Andrew W. Trask (Building neural networks from scratch)


