Ben Stringer is an autonomy engineer at Aurora Flight Sciences with experience in robotics, deep learning, Kalman filtering, and embedded systems. He holds a Bachelor of Science in Electrical Engineering from the University of Louisville with a GPA of 3.74 and additional coursework in computer science from Belmont University with a 4.0 GPA. Prior work includes internships at Raytheon Missile Systems and leading an undergraduate team from the University of Louisville to 1st place in a national rocketry competition.

1. Ben Stringer
Address: 108 Myrtle St. Boston, MA 02114
Phone: (270) 779-3075 Email: Ben.C.Stringer@gmail.com
Website: Ben Stringer - Project Portfolio
EDUCATION
Bachelor of Science in Electrical Engineering August, 2018
J.B. Speed School of Engineering,
University of Louisville, Kentucky
GPA 3.74
Hours Completed: 122
Belmont University
Nashville, Tennessee
GPA 4.0
Hours Completed: 16
Major: Computer Science
SKILLS/
COURSES/
STRENGTHS
● Robotics/Autonomy ● Deep learning ● Kalman filtering
● Mission Frameworks ● Embedded systems ● Algorithm design
● Biometrics ● Machine learning ● C/C++, Python
● Technical writing ● Simulation ● Discrete structures
● Project management ● Matlab/Simulink ● Signals & Linear Systems
● Data structures ● Linear algebra ● Navigation design
WORK
EXPERIENCE
Aurora Flight Sciences
Autonomy Engineer
Fall 2018 – Present
Cambridge, MA
• Independently designed and prototyped a general mission execution framework based
on behavior trees
• Successfully pitched design to leadership securing a team of four other engineers to help
scale up this work
• Used framework to perform simulated missions for last-mile package delivery and EVTOL
urban air mobility applications
• Submitted patent for this work
Raytheon Missile Systems
Guidance, Navigation, and Control (GNC) Internship
Summer/Fall 2017
Tucson, AZ
• Wrote simulation to test transfer alignment filter and navigation algorithms
• Integrated algorithms into high-fidelity 6DOF simulation
Electrical Subsystems Internship Summer 2016
• Worked on several programs including ESSM Block II
• Independently performed point of load testing, keeping the team on schedule
• Created a graphical user interface program that assisted the design engineers in
performing necessary tests
APPLIED
EXPERIENCE
River City Rocketry (NASA Student Launch Initiative) 2016-2017
• Lead a team of 24 undergraduate/graduate students to take 1st
place in national
competition challenging universities to design and build a reusable launch vehicle with a
scientific payload that would launch to exactly one mile apogee
• Lead a sub-team of three in designing and building the Variable Drag System, a robotic
installation within the rocket that would win the team the 2nd
place spot in the altitude
accuracy category and would contribute to winning the team’s Launch Vehicle Design
Award
• The team wrote 2,082 pages of technical documentation during my tenure

2. • Majority of team members averaged 40 hrs/week
APPLIED
EXPERIENCE
MIT 6.S191 Intro to Deep Learning Winter 2019
• Took MIT course covering the basics of deep learning
• Recognized for winning lab competition challenging students to use LSTM’s to generate
novel Irish folk songs
International Aerial Robotics Competition (IARC) 2018
• Objective of ‘herding’ 10 Roombas across a goal line using a quadcopter
• Performed research on an end-to-end reinforcement learning solution obtaining some
success in simulation
Neural Network Engine: A Personal Exercise in Deep Learning Fall 2017
• Wrote a C++ program to classify MNIST dataset
• Used no libraries beyond those in std as a personal challenge in understanding the
underlying math of deep learning
• Wrote classes supporting convolutional, pooling, MLP, and other types of network layers
• Supports several types of adaptive learning rate algorithms including Adam and inertia
• Wrote efficient matrix library to support the NNE
SERVICE 160+ hours with organizations such as Habitat For Humanity and Meals On Wheels
HONORS Dean’s Scholar
Graduated Cum Laude