The Mission
I am a double-degree student in Mathematics and Computer Science, currently strictly focused on Systems Engineering and High-Performance Computing (HPC) for AI.
My philosophy is simple:
“Don’t just import it. Build it.”
While the industry rushes to use the latest frameworks, I am taking a step back to understand the machinery. I am building deep learning engines from scratch—starting with Python, moving to C++, and optimizing with CUDA kernels—to bridge the gap between abstract mathematics and bare-metal performance.
The Roadmap: “The Math-CS Engineer”
I am currently executing a rigorous engineering roadmap (2026) to master the full stack of Large Language Models:
- Titan Engine (C++/CUDA): My flagship project. A custom inference engine built from zero, implementing manual memory management, matrix multiplication kernels, and FlashAttention.
- Visualizing the Black Box: Building tools (like Attention & Sampling Visualizers) to make internal model states intuitive and debuggable.
- Demystifying AI: Writing accessible content to explain the mathematical foundations of AI (from Newton to Transformers) to a general audience.
Technical Arsenal
Core Stack
Engineering Tools
Mathematical Foundations $\mathbb{R}^n$ Linear Algebra • $\int$ Calculus • $\mathcal{O}(n)$ Complexity Analysis
I am documenting this entire journey here. If you are a recruiter or engineer interested in low-level AI optimization, feel free to reach out.