I'm an MEng Computing (with AI and ML) graduate at Imperial College London. I achieved a First Class Honours with an overall percentage of 84.95%, as well as Dean's list in years two, three, and four.
My final-year project in generative AI uses diffusion models to generate synthetic medical imagery. I explored novel methods of generating fake segmentation mask datasets that lead to state-of-the-art performance, as well as novel methods of generating images larger than a gigapixel in size.
Experimenting with programming, music, and art is a big interest of mine, the best example being osci-renderosci-render; software for creating audio-visual art that you can display on an oscilloscope.CV / Resume
- Apache Spark
- Dart / Flutter
Won 'Best Newcomer's Hack' at IC Hack 20
Cross-platform, open-source software used by 1,000s of music + visual artists for making music by drawing images on an oscilloscope using audio.
Can render 3D objects, images, and text on an oscilloscope.
Designed to be extensible, allowing artists to synthesize their own audio + visuals with Lua.
Now being rewritten from scratch as an audio-plugin in C++.
Won 'Winton Capital Applied Computing Prize'
Final-year research project using diffusion models to create AI-generated medical kidney imagery.
- Novel method of generating segmentation mask datasets
- Novel architecture for generating ultra-resolution images >1 gigapixel in size
- Leads to SOTA performance when used as a data augmentation method
- Paper accepted for MICCAI DART'23
Developed individually using Python with PyTorch.
Won 'Ocado Technology Group Project Prize'
KidneyCaliper is an automated deep-learning-based workflow for kidney pathologists.
- Kidney biopsy images automatically annotated and analysed
- Pathologist's workflow sped-up dramatically
- Provides valuable statistics that were previously infeasible to obtain
- Researchers given more insights into which factors make a difference in donor kidney survivability
Developed as a group of 6 for our 3rd year group project using Python and React.
3rd highest ranked project in second-year
Mobile app that facilitates the physical wellbeing and safety of 18-25 year olds during and after nights out.
- Track locations of friends
- Panic button to send SOS to friends when in danger
- Fake phone call to calm you
Frontend written in Dart / Flutter with backend written in Python / Flask.
Achieved full marks in A-Level coursework
An AI that can learn to play snake perfectly using a neural network and a genetic algorithm.
I wrote this in Java completely from scratch to aid my understanding of neural networks.
Web app that allows musicians to collaborate remotely by playing along with other band members as a backing track, leading to more cohesive music-making.
Compiler made using Scala for a simple language called WACC. Also added a 'Mark and Sweep' garbage collector, and re-implemented Snake AI in WACC.
Various features were built upon a bare-bones operating system in C called Pintos, including running & loading user programs, thread scheduling, virtual memory, and memory mapped files.
I worked with a small team to develop the UK government's Homes for Ukraine platform. This has helped ensure the safe resettlement of over 128,000 Ukrainian refugees in the UK.
I created advanced user workflows for entity resolution, allowing for data deduplication, and cleaned-up and pipelined poor-quality data from disparate sources.
As a Forward Deployed Engineer, my work was client-facing, allowing me to develop my communication skills not just within my team but also externally.
Netcraft specialises in finding and taking down websites that impersonate other companies. They
currently perform takedowns for three of the ten most phished companies on the internet.
In 2020, I worked as part of a research team, and uncovered new scams and phishing sites including
support call and gift card scams.
In 2021, I automatically detected and took down telephone scams, spoke to customers about newly discovered covid scams, and worked on sales for web scams to companies worth over $400B.
Regex and Bash were skills that were heavily developed throughout my time at Netcraft; Regex is used
all over Netcraft for classifying malicious sites.
My communicative and documenting skills were exercised when writing technical reports about the programs I have been writing and their purpose.
thirtyone:eight is a charity that specialises in introducing child-protection policies in churches
and offering DBS checks to many UK dioceses.
I worked as part of the IT department; tooling using C#, managing databases using MySQL, maintaining IT systems using Azure, and fixing staff PCs.
The redevelopment of the company website was my largest project; spanning over multiple months,
working with multiple developers, and closely communicating with the marketing department.
Another large project I undertook was the development of a hardware auditing program that gathered
information about staff PCs.
Once the data is gathered, it is sent via JSON to a server program that inserts the data into the company database. This required heavy knowledge of Azure, C#, and .NET Entity Framework.