About Me

Hi, I'm Jorge Guzman — an applied mathematician based in Atlanta, Georgia, actively looking for roles in ML engineering, backend development, and data analysis.

I created Altered Chain to document my journey through mathematics and the things I build with it. My technical work spans ML systems, numerical simulation, and full-stack web tooling — Python, PyTorch, Next.js, Rust/WASM, and Supabase are my most-used tools right now. You can see what I've shipped on the Projects page.

On the research side, my interests lie in representation theory, algebraic topology, dynamical systems, and the ways these abstract structures connect to the physical world. I'm particularly drawn to questions about where mathematical insight comes from — and what happens when we try to make that insight explicit in formal proof systems and AI.

I'm fascinated by how beauty and logic emerge together in math — how ideas like symmetry, invariance, or compactness help us make sense of both theory and reality. Whether it's a proof in topology, a tensor construction, or a data pattern that hints at something deeper, I enjoy breaking ideas down, wrestling with complexity, and seeking clarity.

When I'm not studying or building, I enjoy film, good questions, and conversation with people who love learning as much as I do.

If you're interested in working together or just want to talk math and systems — find me on GitHub or X.