Decreased production errors by 20% and a launched site ahead of schedule by 1.5 months by diligently

managing multiple teams of third-party assemblers for the installation of stations and drives.
• Established Allen Bradley software for robotic safety systems and set up Cognex vision for station recognition.

• Analyzed, debugged, & ensured that all robotic environments met Amazon Robotics' GD&T requirements.

• Originated solution for robotic drive awakening procedure that cut procedure time from 5 to 2 hours per floor.

Robotics Deployment Engineer, Contract

Enhanced fatigue testing process for new product development by creating a periorbital simulator test fixture

with strong repeatability reducing the time needed to test the product.
• Engineered a contact force system that can be moved into position, apply, and measure force using C++.

• Developed a system to apply a force onto the periorbital region and a servo to simulate hand rubbing motion.

• Built a system that collects and records data from the load cell using an ADC, Arduino, and DAQ.

• Validated material and design choice structural stability with finite element analysis simulation on test fixture.

Hardware/Systems Lead, Capstone

• Reduced test process from 4 hr to 30 min by automating test procedures through a developed program.

• Facilitated multiple design reviews to solicit feedback and offer insight into design to meet requirements.

• Collaborated with test engineers to gage usability requirements ensuring compatibility of test fixture.

• Developed code for automated actuator controller using LabVIEW graphical programming environment.

R&D Controls Engineer, Intern

Find out detailed information about Nathan Hoong,  

Nathan Hoong:

Nathan Hoong

Amazon Robotics

Glaukos

Philips Respironics

University of San Diego