content update

index.html

@@ -89,9 +89,11 @@
           <li>
             Relevant Coursework:
             <em>
-              Spacecraft Detail Design: Controlled Propulsive Landing on Lunar
+              <a href="https://lander-team.gitlab.io/site/"
-              Surface | Spacecraft Attitude Dynamics and Control | Mathematic
+                >Astronautics Capstone</a
-              Optimization Methods
+              >: 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
+          Implement Machine Learning characterization methods on high-resolution
-          scans of high-velocity pieces of shrapnel for decreasing space mission
+          3D scans of high-velocity impact debris to produce a model of the
-          cost and safety.
+          Orbital Debris environment.
         </li>
         <li>
-          Documenting qualitative and quantitative research to convey project
+          Directed study covering Machine Learning methods relevant to
-          findings in future publications.
+          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
+            Programmed in Python and uses CI/CD to build, publish and deploy
-            Kubernetes Cluster that I manage in order to seamlessly keep
+            code to a Kubernetes Cluster to automatically push canary and stable
-            production code up to date. Uses abstracted asset API to manage
+            releases. Uses abstracted asset API to manage multiple types of
-            multiple types of assets.
+            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
+        Microcontroller: Arduino, PlatformIO, C++, Teensy, ESP8266, ESP32,
-        Integration
+        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>