Updated resume

_includes/CV/CV.md

@@ -44,18 +44,51 @@
 
 **Senior Principal Scientist**
 
-- Automated Line of Sight (LOS) analysts' reports of radar detection
-- Implemented multiple algorithms, including Neural Networks, clustering, and linear regression
-- Developed an automatic reports generator to reduce analyst workload
+-   Automated Line of Sight (LOS) analysts\' report creation. Developed
+    application and tested on production system via a micro service.
+    First implemented micro service within group.
+-   Automation involved implementation of multiple algorithms from
+    Neural Networks (NN), clustering, linear regression to clean and
+    filter raw sensor data to retrack, stitch and characterize/identify
+    track and track objects.
+-   Collaborated with cross-functional teams to develop technical
+    content for business proposals for sensor technology projects.
+-   Authored comprehensive white papers detailing the findings and
+    implications of AI for automation and sensor detection.
 
 ### DiDacTex, LLC - May 2014 – Present
 
 **Founder / Principal**
 
-- Provided subject matter expertise in Python, Magnetic sensors, EO and Thermal Sensing, Git, and AWS for AFRL and AFIT
-- Developed STEM activities and runs GemCity ML under DiDacTex
-- Designed, built, and tested a magnetic navigation sensor system: MagInBox and MagInTube
-- Developed Python courses customized to AFIT’s needs
+-   Built AFIT ANT Center's first MagInABox (mag nav system) and tested it on a C17
+-   Magnetic Navigation: Designed, built and tested a magnetic
+    navigation sensor system. Involved designing PCB boards, programming
+    micro processors (C) and created a visualization system (Python) to
+    detect magnetic fields. Her sensor system is currently being flown.
+-   Python Course: Developed and taught two different python courses 
+    customized to AFIT's needs. Students learned a range of skills
+    including how to code an algorithm from a paper.
+-   Provided SME for a wide range of fields: Python, EO and Thermal
+    Sensing, Git and AWS for AFRL Sensor Directorate
+-   UAS Detection from a LiDAR sensor using IP cameras. Wrote the video
+    processing capture that streamed from IP cameras. Processed the
+    images to detect the UAS in python.
+-   Processed LWIR HSI data to feed into DARPA's InSight system
+-   Simulated LiDAR image using ROS (Robot OS) that where then used to
+    train a LiDAR ML algorithm and run the LiDAR ML algorithm in a
+    simulated environment.
+-   Developed a client side web application to render 3D models for
+    AFRL's Target Model Library
+-   Developed and published android applications for DiDacTex's internal
+    efforts
+-   Maintainer and Feature Developer to AFRL Visual Annotator (AVA)
+    truthing tool
+-   Works closely with AFRL customer to develop and standardize a new
+    research development
+-   Technical lead for a new research areas withing AFRL which
+    successfully, integrated automatic target recognition software from
+    a variety of languages and modalities
+-   Wrote and presented presentations at classified conferences: MSS and ATRWG
 
 ### InfoSciTex (a DCS Corporation) - Sept. 2012- April 2015
 

index.md

@@ -23,12 +23,15 @@ sitemap:
 <br>
 <div class="content-new-info">
 <div class="square">
-    <big>Evelyn Boettcher is a highly experienced, knowledgeable physicist and founder with a 
-wide range of technical skills. She has a Master of Science in Physics from the University of Maryland 
-and a Bachelor of Science in Physics with Highest Honors from the University of Florida. Her technical 
-skills include data science, machine learning, teaching, programming, sensors, images and videos, systems, 
-and modeling. She has published  journal papers and has demonstrated a passion for continuous learning, 
-consistently adapting to new challenges and expanding her skillset to meet evolving industry demands.
+    <big>Wide range of skills that enabling quick mastery of any project ranging
+from data processing and analysis (messy data) to sensor system
+development. Strong passion for developing prototypes, learning new
+skill and sharing her knowledge. Currently leads a Machine Learning
+Community group and supports a IC mission to integrate ML/AI to automate workflows.    
+
+Over 20 years of experience supporting USAF, US Army, DoD/IC,
+Universities, and Industries. 14 years of experience with Passive Sensor Imagery and 15 years of
+experience with algorithm development, implementation and integration.   
 She currently leads a <a href="https://www.meetup.com/gem-city-tech/events/286718391/">Machine Learning 
 Community group </a> and is a  <a href="https://developers.google.com/womentechmakers/ambassadors">
 Women Techmakers Ambassador</a>.  She has also received patents for electro-optical devices