Fiona Campbell

About Me

Hi! I'm Fiona, I'm studying Computer Science at The University of Manchester
and I will be graduating in June 2019.

I enjoy playing hockey for the University team and I ran a half marathon in June 💪🏼.
I also enjoy travelling and have been trekking in China, Sri Lanka, Tanzania, Cuba & Croatia with my most recent trip being to Japan & Korea for 5 weeks.

Résumé

Education

University of Manchester — BSc Computer Science With Industrial Placement (2015 to date)
On track for a First Class Degree.

Employment

Arm Demonstrations Team — Cambridge (July 2017–July 2018) — Software engineer creating demonstrations & prototypes using Arm based products.

Ding Products — dingproducts.com (2016) — intern at startup company doing software & rapid prototyping for an IoT smart doorbell

Software & Tools

Confident in:

Java, C, Python, Linux, Bash, Git, Subversion, Android Studio, Google ARCore, Unreal Engine 4, HTML, CSS, Javascript, LaTeX, SQL, QT Creator, AppleScript, Tensorflow.

Experience with:

Pascal, Docker, Caffe, Xcode, Swift, Arm assembly, OpenCV, C++, Blender, Ultrahaptics SDK.

Hardware Skills

Raspberry Pi, Arduino, Verilog, Firefly development board, Other Arm based development boards, Processor microarchitecture - design and testing

Languages

English (Native), German (Advanced)

Contact me via LinkedIn for a more detailed CV.

Arm Industrial Placement

I had the opportunity to go to Arm TechCon in California and to three cities in China for Arm Tech Symposia to demo the projects that I’ve been working on. I have mainly been working on an AR Automotive app for Android, designed to show the areas that Arm processors are used in cars, as well as showing how powerful augmented reality can run on a small Arm based phone. I wrote the code for this using Unreal Engine 4 and Google ARCore for augmented reality support, as well as creating some of the models. The other project we brought with us was a large data visualisation showing the percentage of the population connected to the internet for each country. I have learnt so much creating this project from the start - developing a user interface, Raspberry Pi server, embedded boards and an Android app created with QT. I enjoyed the opportunity to talk about my projects in depth to other people in our industry and it was very interesting to hear all the feedback - overall it was very well received!
The opinions expressed are my own views and not that of Arm.

UK GovHack 2016

Our UK GovHack project in 2016 was called Splatter. We collected traffic and road accident data from the UK government open data website used the Google Machine Learning API to identify regions which were particularly dangerous. We won the category for best use of public and government sourced data.

Student Hack IV

At my first hackathon, we created an Android app that would allow you to select a safe street area where you could play a real life "Pac-Man" style game. The app assigned one person as the Pac-Man and the other as the ghost. It would then allow you to chase each other through the streets in the selected area. It integrated with the pebble watch to send each player alerts when the opposition started getting too close. The app had an approximate accuracy of 5m.