About Me

I'm Z Bajraktari Schwab, a third-year at Grinnell College, double majoring in Physics and Computer Science. I'm interested in applying physics frameworks—especially classical mechanics concepts like nonlinear dynamics, chaotic systems, and coupled oscillatory networks—to machine learning to both build and interpret models in novel ways and to build spatially-aware physical AI. In my spare time, I like reading, making visual art, and playing classical piano.

Github Resume

Projects

AI Paper Generator
  • Multi-agent Python application that converts unstructured notes into Nature-style academic papers
  • Writer-editor agent loop with human-in-the-loop revision and LaTeX output
  • Containerized a local LLM with custom parameters for secure inference
  • Implemented KV-caching optimization to reduce compute overhead when switching between agents
  • Built an interactive Streamlit frontend
  • Scripted a data pipeline to process thousands of open-access Nature papers for training dataset
Double Pendulum Simulator
  • Derived Lagrangian equations of motion for double pendulum system
  • Implemented Runge-Kutta 4 integrator from scratch for second-order ODEs in C
  • Built SDL2 simulation with adjustable system parameters displaying chaotic pendulum dynamics
Max Lyapunov Exponent Analysis of Chaotic Systems
  • Derived analytical Lagrangian equations of motion and Jacobian matrices for damped driven and double pendulum systems to enable numerical analysis
  • Coded Runge-Kutta integrators tracking system trajectories and deviation vectors with periodic renormalization to quantify chaos
  • Built high-performance Python solver using multiprocessing and JIT compilation, achieving 150x speedup for maximum Lyapunov exponent calculations
  • Analyzed parameter-dependent chaos transitions to compare chaotic and non-chaotic regimes in driven damped and double pendulum systems

Papers

Maximum Lyapunov Exponents for Different Systems Download Code [undergoing edits]

What I'm Doing Now

  • Teaching myself basic graph theory from Combinatorics and Graph Theory
  • Going through the Dive into Deep Learning textbook to understand deep learning from first principles
  • Playing Liszt's Consolations

Contact Me

email: zanaschwab@gmail.com