About Me
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 / ResumeProficient in
Exposed to
Projects
Won 'Best Newcomer's Hack' at IC Hack 20
osci-render
Cross-platform, open-source audio plugin used by 1,000s of music + visual artists for making music by drawing images on an oscilloscope using audio.
Can render 3D objects, images, text, video, and Blender animations on an oscilloscope.
Designed to be extensible, allowing artists to synthesize their own audio + visuals with Lua.
Recently rewritten from scratch as an audio-plugin in C++.
Won 'Winton Capital Applied Computing Prize'
Kidney Diffusion
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
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
Protectly
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.
Other Projects
PlayTogether
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.
WACC
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.
Pintos
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.
Experience
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.
Perl was the language I used the most, along with JavaScript, MySQL, PHP, and other
technologies
such as Puppet.
In 2020, I worked as part of a research team, and uncovered new scams and phishing sites including
Microsoft
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.
I heavily used JavaScript, CSS, and HTML, and worked with multiple web frameworks, including
Angular and Vue.
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.
Awards
'Best Newcomer's Hack' at IC Hack 20
Imperial College London
Feb 2020
Awarded for osci-renderosci-render; a program for drawing objects, text, and images on an oscilloscope using audio output.