connor/resume
Public Access
1
0
Fork 0
Code Issues Pull Requests Actions Packages Projects Releases Wiki Activity

Fleshed out current job some more

Browse Source
This commit is contained in:
Connor
2019-07-12 19:37:21 -06:00
parent c4eee2e2c5
commit 3ea2428ecd
1 changed files with 19 additions and 14 deletions
Download Patch File Download Diff File Expand all files Collapse all files

33
main.tex
View File

@@ -508,10 +508,10 @@
% Experience %
%%%%%%%%%%%%%%
\node[below=0.6cm of item 3.south west,sectionTitle] (title 2)
\node[below=0.2cm of item 3.south west,sectionTitle] (title 2)
{\cvSection{Recent Experience}};
\node[left=\cvTimeDotSep of title 2,headerIcon] {\faBriefcase};
\node[below=0.6cm of item 3.south west,sectionTitle] (title 2 dummy) {\phantom{\cvSection{Education}}};
\node[below=0.2cm of item 3.south west,sectionTitle] (title 2 dummy) {\phantom{\cvSection{Education}}};
\begin{scope}[on background layer]
\draw[line width=2pt,cvColor]
let \p1=(title 2 dummy.south west),
@@ -533,15 +533,20 @@
{Palski And Associates}%
{Colorado Springs, CO}%
{Summer 2019}%
{Organized an effort to automate telescope observations to perform
satellite orbit state determination using purely visual information.
{Organized an effort to develop and build a package to automate telescope
observations to perform satellite orbit state determination using purely
visual information in C++ utilizing many common libraries and frameworks
(Eigen, OpenCV, Boost,etc.). \\
Developed a program to determine range, azimuth, and elevation information
from the observations and solve for state elements using Gooding's
approach to Lambert's problem.\\
Also developed flight-ready software for a variety of proximity/rendesvous
operations for a secondary observational cubesat during critical missions,
leveraging feature detection and recognition in point cloud, LIDAR, and
RGB image data.}};
approach to Lambert's problem, applying that software to a batch estimator
to accumulate and improve results.\\
Also developed flight-ready software in C++ for a variety of
proximity/rendesvous operations for a secondary observational cubesat
during critical missions,leveraging feature detection and recognition in
point cloud, LIDAR, and RGB image data, as well as a handful of
convenience scripts written in Python. Learned about common development
workflows involving Agile methodology, git, Amazon Web Services, etc.}};
\node[
left=\cvTimeDotSep of item 1 header,
timedot]
@@ -609,10 +614,10 @@
% Research %
%%%%%%%%%%%%%%
\node[below=0.6cm of item 3.south west,sectionTitle] (title 3)
\node[below=0.2cm of item 3.south west,sectionTitle] (title 3)
{\cvSection{Research}};
\node[left=\cvTimeDotSep of title 3,headerIcon] {\faFlask};
\node[below=0.6cm of item 3.south west,sectionTitle] (title 3 dummy)
\node[below=0.2cm of item 3.south west,sectionTitle] (title 3 dummy)
{\phantom{\cvSection{Research}}};
\begin{scope}[on background layer]
\draw[line width=2pt,cvColor]
@@ -680,10 +685,10 @@
% Skills %
%%%%%%%%%%
\node[below=0.6cm of item 2.south west,sectionTitle] (title 4)
\node[below=0.2cm of item 2.south west,sectionTitle] (title 4)
{\cvSection{Honors, Certifications, Licenses}};
\node[left=\cvTimeDotSep of title 4,headerIcon] {\faStar};
\node[below=0.6cm of item 2.south west,sectionTitle] (title 4 dummy)
\node[below=0.2cm of item 2.south west,sectionTitle] (title 4 dummy)
{\phantom{\cvSection{Research}}};
\begin{scope}[on background layer]
\draw[line width=2pt,cvColor]
@@ -693,7 +698,7 @@
\end{scope}
\matrix[matrix of nodes,
below=0.6cm of title 4.south west,
below=0.2cm of title 4.south west,
anchor=north west,
column sep=6pt,
row sep=6pt,