Welcome!

This is my website where I document things I have learned. It's my personal notebook, but also serves as a sort of resume. For my official resume, check out my Linkedin.


About Me

Hi, my name is David, I'm an aerospace engineer at Northrop Grumman. I mostly do model based systems engineering (MBSE), with a focus on mission operations. I got my B.S from UCLA in 2019, and my M.S from the University of Michigan in 2021, both in aerospace engineering and with a focus on autonomous vehicles and optimization. For my masters program, I explored different image processing and segmentation techniques on ultrasonic c-scans of composite laminate panels for impact damage analysis. You can check out that paper here!

While at UCLA I was very interested in space propulsion & systems engineering, but towards the end of my time at Michigan, I became interested in AI & machine learning, which is mostly what I write about now.

Outside of STEM, I like to study piano & music theory. Also, I draw! Check out my instagram.


Please bear with me as I continue to add features! To-do-list: hyperlinks, more pictures, fix equations.

This website uses the Hyde theme for Jekyll.


Quick Navigation

AI and Algorithms

  1. Optimization
  2. ML Introduction
  3. ML Architectures
  4. Variational Autoencoders
  5. Convolutional Neural Networks
  6. ML Tuning
  7. ML Code
  8. Computer Vision
  9. Trajectory Optimization
  10. Path Planning

Dynamics

  1. Fundamentals of Dynamics
  2. Kinematics
  3. Full Dynamics
  4. Fundamentals of Control Theory
  5. Astrodynamics
  6. Low Thrust Transfers
  7. Ground Tracks

Engineering

  1. Aircraft
  2. Satellite Architecture
  3. Systems Engineering
  4. Model Based Systems Engineering
  5. Agile Framework
  6. Reliability
  7. Communications Technology
  8. Data Analytics
  9. Frontend Development
  10. Full Stack Development with AWS
  11. MIL-Std 1553B Communications

Fluid Mechanics

  1. Fundamentals of Fluid Mechanics
  2. Continuum Mechanics
  3. Viscous Flow
  4. Compressible Flow
  5. Turbulent Flow
  6. Non-Dimensional Numbers

Math

  1. Eigen Values
  2. Linear Algebra
  3. Bayes Theorem

Music

  1. Twelve Tone Equal Temperament
  2. Musical Harmony
  3. Music and Machine Learning Pt. 1 - Representation
  4. Music and Machine Learning Pt. 2 - Architectures
  5. Music and Machine Learning Pt. 3 - Problems
  6. Music and Machine Learning Pt. 4 - Looking Ahead

Propulsion

  1. Fundamentals of Propulsion
  2. Jet Engines
  3. Electric Propulsion

Structures

  1. Fundamentals of Structural Mechanics
  2. Finite Element Methods

Other Things

  1. Working Effectively
  2. Writing Effectively
  3. Leadership
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