Kyle Brown

Aerospace Portfolio

UAV systems, propulsion, CAD, mission design, and applied AI. I like building flight hardware—and the control software that makes it useful.

SolidWorks C++ / MATLAB LiDAR / IMU Propulsion & Power Trades AI / ML

Featured Projects

Detailed write-ups with visuals and links to full reports.

Autonomous Drone (MAV)
Autonomous Drone CAD isometric view
CAD assembly for a micro air vehicle; avionics bay + sensor mounts.

Scope

A micro air vehicle with a modular avionics stack (flight computer, PDB, LiDAR, IMU) on a lightweight frame for rapid controls iteration and sensor experiments.

Contributions

  • PD loop tuning & waypoint sequencing; quick telemetry for gain checks.
  • Avionics bay/IMU/LiDAR mounting and clean harness routing in CAD.
  • Motor/prop/ESC comparisons and power distribution validation.
  • Bench bring-up and early flight checks.
  • SolidWorks
  • Teensy 4.0
  • LiDAR/IMU
  • C++ & MATLAB
  • Propulsion sizing
MAYFLY — Comet Sample Return
MAYFLY sample-return spacecraft CAD render
Bus & payload concept used for mission trade studies.

Scope

Concept study to return a regolith sample from 311P/PANSTARRS with strict mass/power budgets and a compact bus/payload package.

Contributions

  • Helped package payload in CAD; defined interfaces and tracked mass properties.
  • Supported propulsion trades (SEP vs. chemical) tied to timelines/ops windows.
  • Built quick trajectory & margin sweep scripts and plots for reviews.
  • Flagged harness/thermal hot-spots to guide panel and connector choices.
  • Payload/bus CAD
  • Propulsion trades
  • Trajectory tools
  • Interfaces & packaging
  • Review prep

Skills

CAD: SolidWorks (assemblies, drawings, DFMA) Controls: PD/PID, waypoint planning Sensors: LiDAR/IMU fusion, telemetry Coding: C++, MATLAB/Octave Propulsion: sizing, power/ESC integration Manufacturing: composites, 3D printing AI/ML: applied to analysis & trade studies

About

Headshot of Kyle Brown

Hello, I’m Kyle Brown. I studied aerospace engineering at UCLA after completing foundational coursework at Cañada College. What excites me most is working across the full stack of aerospace projects—starting from CAD concepts, making propulsion trades with real data, and then bringing those designs to life in the shop and in testing.

I’ve spent a lot of time building and refining UAV systems: laying out avionics bays in CAD, integrating sensors like LiDAR and IMUs, and tuning flight controllers until the hardware and software feel seamless together. I’m equally comfortable designing composite structures, routing harnesses, or debugging a C++ script that isn’t quite talking to the IMU the way it should.

My technical strengths include CAD (SolidWorks), controls, propulsion sizing, and coding in C++ and MATLAB. More recently, I’ve been exploring AI/ML tools for engineering—using machine learning to spot patterns in test data, speed up analysis loops, and automate repetitive parts of trade studies.

Beyond the technical side, I bring a practical, hands-on approach. I like teams that move quickly, document clearly, and build things that actually fly. I’m detail-oriented, but I don’t get lost in perfectionism—I want to get hardware on the bench, learn from it, and iterate. That balance of precision and momentum is what motivates me as an engineer.

Outside of engineering, I’m the type of person who enjoys projects for fun—whether it’s fabricating a custom part, trying out new software tools, or digging into a research paper that sparks an idea. That curiosity keeps me learning and feeds back into my work in meaningful ways.