Aaron Angert
Hi there!
I am passionate about artificial intelligence, robotics and simulation, and leadership. My interests include Autonomous Vehicles, Robotics, Motion planning, and Machine learning.
For a compact version, check out my resume as a PDF.
Experience
Robotics Software Engineer
Autonomous Vehicle Simulation Engineer
- Lead development of the rear virtual bumper simulation for ADAS program validation
- Drove enhancements in code and repository management, automated processees, and led cross-functional team initiatives
- Built and maintained internal tooling for simulation (HTML documentation generator, ARXML parser, Vehicle dynamics parser)
Team Captain
- Lead the 12th unmanned team to develop an autonomous Chevy Bolt which competed in the SAE Autodrive challenge at the MCity proving grounds
- Behaviors included Traffic light detection, dynamic obstacle avoidance, motion planning, lane following, and simulation of the vehicle
- Our team won in first place for the dynamic portion of the challenge, and second overall
Software Engineer
IBM
Responsibilities include:
- Openstack Cloud development and Devops
- Interal tools development
- Cloud infrastructure management
Education
Masters of Engineering in Computer Science
- Focus on local motion planning and behavior control
- Competed in the SAE Autodrive challenge and Ansys Indy Autonomous challenge
- Courses include: Analysis of algorithms, Machine learning, Convex optimization, Intelligent systems and robotics, Linear models, Linear multivariable systems
Bachelor of Science in Computer Science
Robotics and AI
Machine Learning
Computer vision
Motion Planning
EKF
UKF
YOLO
CNN
SIFT
RRT
PRM
A*
IMU
Lidar
CAN bus
ESP8266
Languages and Platforms
Python
C++
Java
C#
VBA
Matlab
Simulink
Unreal
Unity
ROS
SUMO
SIL testing
Awards and Accomplishments
2nd place, SAE Autodrive Challenge II Simulation
2nd place, SAE Autodrive Challenge II Overall
1st Place, SAE Autodrive I Dynamic challenge
3rd Place in the Ansys Indy Autonomous Challenge
Developed software for motion planning for a simulated race vehicle on the Indianapolis motor speedway within the Ansys SCADE software suite, using a Python and DDS communication stack for networked races.
Stanford online - Machine Learning