Abdulaziz Alshehri

About Me

Technical product leader with 4+ years delivering data-driven solutions in complex aerospace systems. Strong foundation in statistical methods including Design of Experiments, Response Surface Methodology, Kriging, and adaptive sampling. Dual award recipient for technical excellence and process innovation.

Specializing in autopilot systems with expertise in optimal guidance laws, impact angle control, and high-fidelity simulation development.

Professional Experience

2025 - Present

Aerospace Engineer - 1

Implemented Multivariate Adaptive Regression Splines (MARS) metamodeling for boundary optimization, achieving 87.5% sampling efficiency vs 6% with naive approaches
Created Interface Control Documents for data standardization and system integration

2023 - 2025

Aerospace Engineer

Received 2024 Management Award for contributions in GNC from executive leadership
Developed Monte Carlo simulation frameworks and statistical models for complex non-linear dynamics systems
Established Git-based data pipeline and model versioning practices with code reviews
Developed MATLAB coding standards to ensure consistency and enhance team collaboration

2022 - 2023

Associate Aerospace Engineer

Applied data-driven optimization and parameter tuning for UAV systems with complex dynamics
Enhanced overall system performance through statistical analysis and iterative testing

Personal Projects

Wind Forecasting Dashboard

Built web dashboard for altitude-based weather analysis enabling go/no-go operational decisions. Adopted at work, saving 1991 working hours annually (recognized with Creative Idea Award).

Python Web Development Data Visualization

Homelab Infrastructure

Docker-based infrastructure with 25+ containerized services including Traefik reverse proxy, Authelia SSO/2FA, Cloudflare DNS/DDNS, Tailscale VPN, n8n workflow automation, Rocket.Chat for team communication, and CouchDB/MongoDB databases.

Docker Linux Networking Self-hosting

5-Inch FPV Drone Build

Built a custom 5-inch FPV racing drone from scratch, including component selection, circuit board soldering, ESC flashing, and flight controller configuration using Betaflight. Hands-on experience with hardware integration and PID tuning.

Betaflight Soldering Hardware FPV

Technical Skills

Programming & Development

MATLAB Python LaTeX C (embedded) Git SVN

Data & Simulation

Monte Carlo Kriging DoE RSM Statistical Analysis MATLAB/Simulink

Tools & Infrastructure

Docker CouchDB MongoDB Redis Linux n8n

Aerospace Systems

Ardupilot Betaflight 3D Printing UAV Systems GNC Development

Education & Professional Development

Bachelor of Science in Aerospace Engineering

King Fahd University of Petroleum and Minerals | 2016 - 2021

Key Courses: Numerical Computing, Data & Computer Communications, Flight Dynamics, Aerodynamics, Astronautics

Professional Courses

Missile Systems Technology

MBDA | 2025

10-day intensive: GNC, Simulations, Propulsion, Aerodynamics, RF/EO seekers

Advanced Motion Control

High Tech Institute | 2024

System identification and data-driven tuning

Sensor Fusion: Architectures, Algorithms and Applications

Cranfield University | 2023

Kalman filters, uncertainty quantification, sensor integration

Introduction to Applied Flight Control

Cranfield University | 2022

Flight control systems design, stability, autopilot systems

Get In Touch

Interested in collaboration or have questions? Feel free to reach out.