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Programming, Mechanical Design, and Data Analysis

Location:
Auburn, AL
Posted:
January 27, 2021

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Resume:

John T. Stanfield

*******@******.***

256-***-****

EDUCATION

Auburn University, Auburn, AL Anticipated: May 2021 Bachelor of Aerospace Engineering

Cumulative GPA: 3.26/4

• Relevant courses: Flight Dynamics & Controls, Kalman Filtering, Technical Writing Awards: Dean’s List Fall 2020

EXPERIENCE

Chromalloy, Lagrange, GA August 2019 – December 2019

Engineering Intern

• Executed capacity study for the introduction of a new turbine blade manufacturing project

• Communicated with major aerospace customers about project standards and production levels

• Partnered with project managers to design fixtures and tooling using Siemens NX

• Prototyped tooling fixtures for aircraft engine repair using Lulzbot 3D printers

• Conducted refinement of work instructions, routers, and work scopes

Design Concepts, Sarasota, FL May 2019 – August 2019

Design Engineer Intern

• Executed cost reduction project resulting in 8% lower spending while improving workplace conditions

• Coordinated with the engineering team to develop fiberglass avionics housings and cockpit for Cessna 172 flight simulator

• Constructed Cessna 172 cockpit by hand laying fiberglass material to match the drawing

• Designed tooling fixtures and marine components using Siemens NX

INVOLVEMENT

Aero and Astro Robotics Program, 2021 NASA RASC-AL Competition Team July 2020 - Present Sensors and Prospecting Team Lead

• Leading team of 5 engineering and computer science students to develop the sensor systems and prospecting algorithm for an autonomous drilling and prospecting robot for the 2021 NASA RASC-AL competition

• Integrating LiDAR sensor into the control algorithm along with the development of the sensor drivers and calibration code in C++

• Constructing weight on bit sensor using analog-to-digital converters, load cell combinators, arrays of load cells, and an Arduino mega

• Leading development of a recursive algorithm to model layers of the lunar surface using state estimation and pattern recognition techniques

Tryad CubeSat Program, Auburn University November 2019 – December 2020 Attitude Determination and Controls Team

• Led development and testing of sun sensor for the satellite attitude determination system

• Assembled sensor on a breadboard and tested performance of the photodiode feedback using an oscilloscope and Python

• Tested integrity of satellite components using vibration table and finite analysis methods SKILLS

Languages: MATLAB, Python, C++

Software: Simulink, Siemens NX, SolidWorks, Unity, Microsoft Excel



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