My name is Emily and I do a range of things from
breaking building circuits to baking desserts.
I'm an electrical engineer by trade but somehow have found myself working in the realms of software
and data science.
With a range of experience from low-level microcontroller programming to constructing dashboards for
dealers at Trade Me, I've acquired a rather diverse skill set.
Currently, I am loving the mix of rocket engines and data in my role as a Software Intern in the
Propulsion team at Rocket Lab.
Rocket Lab USA
Working across the Propulsion and Software teams to better improve testing automation and data analysis of our rocket engines. Using a variety of tools such as C# .NET and Python to develop engine testing tools
One of the first people in the world to take part in Udacity's Self-Driving Car Engineer Nanodegree. Studied and implmented various machine learning and computer vision techniques used in self-driving cars.
Smart Fan for a Fisher & Paykel Fridge
Using an Atmel AT Tiny, Firebase and Node.js my team and I created a real-time dashboard and remote controlled fan via a web app. This was part of a University project for Fisher & Paykel where we were to design a fan controller using digital and analogue electronics. We took this a step further and implemented a whole wireless system that enables the user to see and control the status of the fan/fridge from any mobile device.
Machine Learning for SoC Estimation of Li-Ion Batteries
For my Part IV Project, my partner and I decided to pursue something in the electric vehicle space. As battery technology is still currently a large limitation in the uptake and development of electric vehicles, we investigated ways in which to better improve state of charge estimation. This involved building a full testing rig that would enable us to charge and discharge Li-ion cells safely, measure all of the required inputs and estimate state of charge.