My growing passion for cutting-edge computing technologies, sparked by industry Keynote events and CES/E3 showcases, led me to delve into unexplored areas of Computer Science—voxels, Machine Learning, and IoT—ultimately influencing my pursuit of a master's degree. Throughout my academic journey, I actively engaged in collaborative software engineering projects, with a focus on applying deep learning to medical imaging, resulting in a workshop paper publication at CVPR on anomaly detection in brain scans. Now a DPhil student at the University of Oxford, I contribute to the Medical Imaging Research Group, leveraging my expertise in software engineering and deep learning to drive innovative solutions in medical imaging and stay at the forefront of technological advancements.
- University: Oxford University
- Degree: DPhil Computer Science
- Determined and strong work ethic
- Analytical with strong problem solving skills
- Strong leadership skills through coaching and playing American Football
- Networking skills through contacting and conversing with Barclays Directors
- Team working skills through various software projects and sporting teams
- Time management and communication from working at a Subway Restaurant and as a waiter
Notable Achievements & Hobbies:
- Oxford University American Football WR Coach 23-present
- American Football | Coached U16s local team 17-21
- Flag Football National Team | Coached in Italy for U15s side | Finished 2nd
- DU Flag American Football 19-22 | 20-21 Captain | 21-22 President
- Collingwood Rounders 20-22 | President 21-22 | Sports Award 21
- Collingwood College Pool B team 19-20 | A team 21-22
- Mensa IQ 99th Percentile Culture Fair Scale
- Duke of Edinburgh Bronze Award | NCS Scheme
In the early stages of my career, I developed my inter-personal skills and responsibilities by
working as a waiter at my local restaurant (2017), as a bet-taker at the Bolton Wanderer's home
ground (2017-2018), and finally as a Sandwich
Artist at Subway fast food restaurant (2018-2019).
Please see below for relevant work experience.
I am a keen, dedicated and determined computer science DPhil student, with aspirations to make meaningful research contributions within the medical imaging domain.
2023 - 2027
Computer Science - DPhil
Graph Representation Learning, Uncertainty in Deep Learning, Computational Medicine, Geometric Deep Learning
2018 - 2022
Computer Science - 1st Class (Hons.) Master's of Engineering (MEng)
Year 1 - averaged 78%
Year 2 - averaged 78%
Year 3 - averaged 73%
Year 4 - averaged 78%
Project Preparation: Bias in Multimodal
Advanced Computer Vision, Natural Language Processing, Advanced Computer Graphics and Visualisation
Computer Vision, Deep Learning and Reinforcement Learning, Recommender Systems, Master's Project Preparation
Software Methodologies - (Machine Learning, Computer Graphics, AI Search, Image Processing), Networks and Systems - (Networks, Distributed Systems, Security, Compiler Design), Programming Paradigms - (C, Java, Haskell), Software Engineering
Computer Systems, Algorithms and Data Structures, Programming - (OOP in JS, NodeJS)
2016 - 2018
A Level - Physics and Maths - Grades: A and A
BTEC - Level 3 BTEC Extended Diploma in Creative Media Production (Games Design) - Grade: D*D*D
Awards: Awarded Best Male Student, Best Physicist, Best Mobile Game developer, and nominated for Best Mathematician and Best Game Developer
Rivington and Blackrod High School
2011 - 2016
GCSEs - 4 A*'s, 4 A's and 2 B's, with Further Maths (A*) and English
Awards: Leigh Bromwell Trust prize for Maths and Excellence in Science
Graduate Developer Analyst
Other: (Nov-Sep) Technical lead for internal startup from idea to
production as a winner of the BUK early careers team task, which included a full stack
Django and React architecture deployed in Docker Kubernetes containers. The project
gained traction and popularity from senior directors with the production pilot achieving
its sign-up target.
(Apr-Sep) Technical lead for secondary internal startup utilising modern deep learning from idea to early prototype.
Rotation 2 (Apr-Sep): Collaborated with another graduate to migrate an external Java docker project for use internally.
Rotation 1 (Aug-Apr): RESTful API and regression tester in BPF (Barclays Partner Finance) and transitioned to full stack .NET developer.
CVPR - New Orleans
Master's Research - “AnoDDPM: Anomaly Detection with Denoising Diffusion Probabilistic Models using Simplex Noise”
University advanced project accepted at the New Trends in Image Restoration and Enhancement (NTIRE) workshop at the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). Developed technical communication skills through academic poster presentations to worldwide researchers in addition to peer reviewing for the workshop. Improved time management and adaptability by simultaneously completing other university work.
Customer Digital & Data Developer Intern
For my second internship with Barclays, I was placed in the Customer Digital & Data department. This involved working in a small team to research and develop an AWS OCR & NLP proof of concept for a product evaluation. Additionally, I produced flowcharts and project requirements to begin automation of the Bank's "New to Bank" joiner application. Finally, I lead and presented a team pitch outlining improvements to Barclay's Mobile Live Chat Service, regarding a user-driven development problem statement and potentially improving the business customer relations.
Mainframe Connectivity InternThrough the struggles of the COVID-19 pandemic I was able to secure a valuable internship with Barclays where I was placed in the Global Infrastructure department. Here, I worked with the mainframe connectivity team to complete my technical & non-technical objectives. These involved: migrating internal bank users of a mainframe application to use a load balanced system; amending, adding and removing devices located in branches such as ATM opening times; tidying up decommissioned connections within the mainframe sysplex. Furthermore, the non-technical objectives notably included networking with directors & MD's of Barclays.
Software Engineering Group Project
2019 - 2020
RT Projects Database and Register Solution
For the Software Engineering module in the second year of my degree, my team was tasked to reach out to a local charity and develop software for them. Our Charity, RT Projects, is a creative mental health charity based in Newcastle. They wished to improve their data collection and statistical measurements with a small application.
- Collaboratively developed using Python, Git and Trello
- Worked as team lead - ensured the team was on track
- Primarily developed database integration through linking Python and SQL, as well as Dropbox API interaction
Please see the links below for my collection of relevant works from 2017 onwards.
- Games Design