Dedicated Computer Science student with a strong academic foundation, currently pursuing a BSc in Computer Science at Manchester Metropolitan University following two years of study at the prestigious University of Edinburgh. Currently on a 12 month placement at ARM (July 2024-2025).
I am a computer science student with experience as a web devloper, runing my own tutoring business and currently working as a software engineering intern at ARM. If you are intrested in my wide range of academic accomplishments and certifications have a look at my CV below. Right now I am working on open source mathematical libaries at ARM such as AOR, GlibC and KleidiCV.
With extensive and diverse experience, I have gained familiarity with a wide range of languages and tools, including but not limited to: those listed below. I am always eager to expand my toolset and welcome any opportunity to do so.
You can read my full cv here
ARM LTD
Information Services University of Edinburgh
Self-Employed
University of Edinburgh
Grade avg:(1st) Modules in object-oriented programming (Java), Functional programming (Haskell), mathematics, Data Science (Pandas/Seaborn/Python), Machine Learning (PDDL), Algorithms and data structures (Python), Computer Architecture(C,MIPS) and Software Engineering (Java) Outside modules: Introduction to Gender in the Contemporary World, Queer Studies.
Manchester Metropolitan University
Modules in : Algorithms and data Structures(95%), Software Engineering, Industry Skills(100%), Networks(78%), Operating Systems, Cyber Security
C++ Program using OpenFrameworks libary. Set custom RGBA values and watch a BubbleSort create a beautiful visualisations, and lines exteding from a circle are sorted. Explores sorting algorithms in an accessible and visuallt stunning way. See the repo here.
I am an accredited Cisco Certified support Technician in Networking
I participated in the Social Statistics Hackathon hosted by the Department for Social Statistics at the University Of Manchester. My colleague and I’s presentation on the impact of disability, ethnicity and gender on educational attainment outcomes using the 2021 census data won us first prize. I was responsible for the data analysis; I used Python in Jupyter Labs to create visualisations and model data. I also used my critical thinking skills and knowledge of sociological factors to discuss the relevance of these findings and compare them to current literature. Winning this prize, especially when competing against postgraduate students with a wealth of experience, was a proud accomplishment and attested to my skills.
I am continually looking for ways to increase my skillset, Linked-In learning is one of the ways I do this. I have recently completed a course in the R programming language. I am finishing a course on Git, and I am working through courses in order to prepare for my CCST networking certification. You can check my linked-in to see an up to date list of courses I have completed.
I am passionate about education, and I am currently working on a project to explore the impact of GPT on the enviroment, thinking about how we can use data science to educate and empower. This is an Ongoing project and you can see it here
lunaxlamb@proton.me
Get in touch via email or on my Linked-In