📍 El Salvador — Open to Remote R&D / Internship roles (CFD & AI)
About Me / Sobre mí
About Me (EN)
I am an Aeronautical Engineer passionate about
CFD, CAD, numerical simulation and AI-assisted engineering workflows.
I enjoy building, analysing and understanding systems from first principles.
I currently work on fluid-dynamics analysis, educational CFD workflows and
the development of AI-augmented tools for engineering and mood dynamics modelling.
Sobre mí (ES)
Soy un ingeniero aeronáutico especializado en
CFD, CAD, simulación numérica y herramientas de IA para ingeniería.
Me gusta crear, analizar y comprender sistemas desde cero. Trabajo en análisis
aerodinámico, guías educativas de simulación y en el desarrollo de
asistentes inteligentes para simulación y modelos del estado de ánimo.
LSWT – Low Speed Wind Tunnel R&D
Role:
Lead design and CFD analysis, including geometry definition, simulation setup,
validation and technical documentation.
Scope & Workflow:
End-to-end development of a low-speed wind tunnel, covering CAD modeling,
mesh generation, boundary condition definition, CFD simulations,
flow uniformity analysis and experimental validation in the test section.
Key Engineering Outcomes:
Evaluation of contraction and diffuser performance, estimation of pressure recovery,
quantification of test-section flow uniformity, and correlation between CFD predictions
and experimental measurements.
Academic Contribution:
Results were further developed and documented in the peer-reviewed IEEE article:
“Open Circuit/Eiffel-Type Subsonic Low Speed Wind Tunnel (LSWT)
Conceptual Design Initial Parameters and Section Losses' Analysis
for the Selection of an Adequate and Efficient Axial Fan”,
presented at CONCAPAN XL I <International Conference> (2023),
https://ieeexplore.ieee.org/document/10517570
,
DOI:
10.1109/CONCAPANXLI59599.2023.10517570
.
Workflow: airfoil geometry generation → mesh discretization →
CFD simulation → Cp, Cl and Cd extraction → MATLAB post-processing and
comparison with thin-airfoil theory.
Key Results: lift coefficient curve versus angle of attack,
Cp contour maps and validation against classical aerodynamic theory for
attached flow regimes.
NACA 2412 Geometry / Mesh
Pressure Coefficient / Cl vs α
Internal Flow Simulation – Duct / Diffuser Study
Role: CFD setup, mesh optimisation, flow metrics
Tools: Autodesk CFD, Python
Workflow: internal duct geometry → mesh refinement study →
inlet/outlet boundary conditions → steady-state CFD → evaluation of
velocity profiles and pressure losses.
Key Results: loss coefficients, influence of mesh density on
solution stability and qualitative assessment of flow separation in the diffuser.
Duct / Diffuser Model
Velocity Profile / Streamlines
NeuroBalance – AI-Assisted Mood Dynamics Model
Role: Mathematical modelling, signal processing, ML experimentation
Tools: MATLAB, Python, SciPy, basic ML libraries
Description: research project exploring AI-assisted modelling of mood
dynamics in bipolar spectrum using differential equations and physiological / daily-life signals
(sleep, activity, stress). The goal is to build predictive tools that anticipate high-risk states
and assist clinical decision-making.
Focus: implementation of published dynamical models, parameter estimation,
feature extraction from time-series and design of simple surrogate models as virtual companions.
