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Update the resume for the new gig

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2025-09-16 14:50:42 -04:00
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commit 329f167dc2
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@@ -36,23 +36,26 @@
<body>
<main>
<header>
<h1>Hi, I'm Anson</h1>
<h1>Howdy, I'm Anson</h1>
<p>
I am an Aerospace Simulation Software Engineer with a B.S. in
Aerospace Engineering and 3 years of professional experience writing
software for human-rated spacecraft. My experience ranges from doing
data science on orbital debris to enable advanced characterization
using Rust and Julia to developing high-fidelity models for GNC
algorithm validation of rockets in C++ to creating highly extensible
simulation orchestrators using Docker and Python.
Currently I'm at
<a href="https://shield.ai" target="_blank">Shield AI</a> where I'm
helping build a safer, autonomous future. In the past I've worked on
making humanity multi-planetary at
<a href="https://blueorigin.com" target="_blank">Blue Origin</a> and
<a href="https://ulalaunch.com" target="_blank"
>United Launch Alliance</a
>.
</p>
<p>
My interests vary, but if you're doing anything involving Autonomy,
Space, writing math using code, or the open web - then please reach
out!
</p>
</header>
<section>
<h2>Connect</h2>
<p>
I'm available for discussions about employment opportunities,
collaborations, or just to chat about something cool:
</p>
<p>I'm usually down to clown so hit me up!</p>
<!--sse-->
<ul>
@@ -89,52 +92,4 @@
</footer>
</main>
</body>
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<!--/sse-->
</h3>
</div>
<p style="text-align: justify; margin-left: 2em; margin-right: 2em">
<!-- <p style="text-align: justify; margin-left: 2em; margin-right: 2em">
Aerospace Simulation Software Engineer with a strong foundation in both
aerospace engineering and modern software development. Experience ranging
from high-fidelity simulation models in C++, high-performance ETL
pipelines of aerospace data in Python, and managing development
environments for 100 engineers. <br />Eligible for security clearance.
</p>
environments for 100 engineers.
</p> -->
<h2>PROFESSIONAL EXPERIENCE</h2>
<dl>
<dt>
Developer Integration Engineer | Shield AI | Washington, DC | June 2025
- Present
</dt>
<dd>
<ul>
<li>
Protecting service members and civilians with intelligent systems.
</li>
</ul>
</dd>
</dl>
<dl>
<dt>
Aerospace Applications Software Engineer | Blue Origin | Denver, CO |
@@ -92,45 +105,23 @@
lander in support of NASA's Lunar program.
</li>
<li>
Maintained Python based post-processing pipeline for spacecraft
data, including custom Docker monitoring with PyArrow, modifying
proprietary NASA software, data transformation with Pandas, and
archiving data in HDF5.
Developed Python data pipelines for spacecraft analysis and C++
hardware mocking capabilities, enabling entirely software-based
simulation environments with hardware-agnostic interfaces.
</li>
<li>
Developed hardware mocking capabilities using C++ that enabled an
entirely software simulation environment. Built a hardware-agnostic
interface that enabled mocking without directly interacting with
simulation or hardware protocols.
Built automated test case management software and worked with
customer teams to eliminate verification roadblocks, delivering 10x
productivity improvements for a 20-person team.
</li>
<li>
Developed bespoke test case document management software in Python
for writing, publishing, and tracking. Identified major blockers for
a customer team, and worked independently on a prototype with a
strong emphasis on completely automated tooling to streamline test
case development. Final product led to an immediate 10x increase in
productivity for the 20 person team.
Owned development environment for 150-person flight software team,
implementing modern tooling while ensuring DO-178 compliance.
</li>
<li>
Owned development environment for the 150 person flight software
team. Consistently pushed for modern tooling and evolved workflows
to meet demands of a growing team. Worked with stakeholders to
ensure compliance with DO-178 while maintaining cutting edge
tooling.
</li>
<li>
Worked within customer teams to ensure simulation software
capabilities met testing requirements. Proactively developed
features to eliminate critical roadblocks in the verification
process, and provided technical guidance.
</li>
<li>
Developed custom software on top of Pytest that generated GitLab CI
jobs using Python decorators. Allowed hundreds of automated tests to
remain active while keeping pipelines short and runner usage to a
minimum. Tests would be given a decorator that listed software
dependencies, and a child pipeline would be generated that only
included necessary tests. Reduced runner utilization by 50%.
Developed custom Pytest framework generating dynamic GitLab CI jobs
with Python decorators, reducing runner utilization by 50% while
maintaining hundreds of active tests.
</li>
</ul>
</dd>