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@ -89,9 +89,11 @@
<li>
Relevant Coursework:
<em>
Spacecraft Detail Design: Controlled Propulsive Landing on Lunar
Surface | Spacecraft Attitude Dynamics and Control | Mathematic
Optimization Methods
<a href="https://lander-team.gitlab.io/site/"
>Astronautics Capstone</a
>: Controlled Propulsive Landing on Lunar Surface | Spacecraft
Attitude Dynamics and Control | Mathematic Optimization Methods |
Machine Learning Directed Study
</em>
</li>
</ul>
@ -112,33 +114,33 @@
Grant.
</li>
<li>
Implement Machine Learning of information gained on high-resolution
scans of high-velocity pieces of shrapnel for decreasing space mission
cost and safety.
Implement Machine Learning characterization methods on high-resolution
3D scans of high-velocity impact debris to produce a model of the
Orbital Debris environment.
</li>
<li>
Documenting qualitative and quantitative research to convey project
findings in future publications.
Directed study covering Machine Learning methods relevant to
characterization of 3D models and reducing highly dimensional data
down to a low enough level to be applied in other applications.
</li>
</ul>
</dd>
<h2>EXPERIENCE</h2>
<dl>
<dt>Simple Stock Bots | Phoenix, AZ | Founder | 2018-Current</dt>
<dt>Simple Stock Bots | Phoenix, AZ | Creator | 2018-Current</dt>
<dd>
<ul>
<li>
Bot that brings stock market information and analysis to group
chats, used over 1.5 Million times per month.
chats, tens of thousands of monthly active users.
</li>
<li>
Programmed in Python and uses CI/CD to publish and deploy code to a
Kubernetes Cluster that I manage in order to seamlessly keep
production code up to date. Uses abstracted asset API to manage
multiple types of assets.
Programmed in Python and uses CI/CD to build, publish and deploy
code to a Kubernetes Cluster to automatically push canary and stable
releases. Uses abstracted asset API to manage multiple types of
assets from various data sources.
</li>
<li>Developed completely open-source in public under MIT License.</li>
</ul>
</dd>
@ -175,18 +177,18 @@
<dd>NumPy, Pandas, Matplotlib, SymPy, Serverless, DASK, CUDA</dd>
<dt>Embedded Programming</dt>
<dd>
Arduino Ecosystem: PlatformIO, C++, Teensy, ESP8266, ESP32, Hardware
Integration
Microcontroller: Arduino, PlatformIO, C++, Teensy, ESP8266, ESP32,
Hardware Integration
</dd>
<dd>
Linux Ecosystem: Python, C++, Web Servers, High Performance Matrix Math,
Microprocessor: Python, C++, Web Servers, High Performance Matrix Math,
Real-time Object Detection using Deep Learning, CUDA, Raspberry Pi,
Tegra K1
</dd>
<dt>Engineering and Technical</dt>
<dd>
Julia, Rust, C++, LaTeX, Linux CLI, Git Version Control, Regex, Docker,
WSL, Kubernetes, CI/CD
WSL, Kubernetes, CI/CD, Java
</dd>
<dt>MATLAB</dt>
<dd>