Welcome to the ASTRAMLAB blog
A short note on what we'll write about here — applied AI, simulation, and the engineering behind our work.
Read →Mechanical engineer working learn about plasma physics using theorical and computational methods that help advance in fusion technology.

Analysis and optimization of numerical simulation for isotropic plasma in different electromagnetic field configurations, with applications in propulsion and nuclear fusion confinement. Used Python to analyze the resulting data from C++ and Fortran algorithms, processing simulation data across different flow regimes.
Simulations in Python and C++ for plasma applications, using computational physics frameworks developed by Princeton Plasma Physics Laboratory to test prototypes of plasma technology. The lab's 3D scanning and printing services fund the research.
Conceptual and algorithmic design of real-time rendering software enabling 2D vector graphics visualization over 3D models, via a vector image hot reload algorithm. US patent application 63530739 — Rueda, Alvarado, Laufer, Carpio, Rand.
Built a UAV drone and performed CFD simulations to optimize the flight performance of a remotely piloted aircraft system aimed at protecting the Galápagos Islands and preventing illegal fishing.
Created 3D-printable spare parts for motorcycles through reverse engineering — 3D scanning and FDM printing applied to automotive spares, architectural modeling and education.
Analyzed chemical, mechanical and thermal characterization data for oxidized cassava starch and polyvinyl alcohol. Thesis work analyzed the factors affecting plug-in electric vehicles' energy consumption, cost and performance.