I am an exceptionally driven and creative individual seeking to enter the world of computing; having discovered my passion for software development and data science through their applications in the arts - specifically within electronic music. Moving forth I wish to educate myself and commit labour toward more professional endeavours, and become a valuable asset to the programming industry.
- 1-Up.My final project within my Bachelors of Science in Electronic Music and Computing Technology. 1-Up is a live coding language, shipped as a: executable to be ran on the command line interface, and a max4live patch to recieve the notational data over OSC protocol. 1-Up is a means to interject 'live-ness' in the space of the laptop musician. Designed in accordance to the fundamentals present within various exercises of the 'music tracker' phenomena - the majority of the work in this project was inf
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Freelance Event AssistantCode Node
London, United KingdomPart Time
I have gained valuable experience as an events assistant at CodeNode, a prominent tech-industry events space in London. This role has allowed me to network with industry professionals and engage in meaningful discussions about our work.
Live Sound Engineer/ComposerSelf Employed
London, United KingdomFreelance
As a live sound engineer, I have worked on numerous shows, handling sound engineering and PA system setup. Notably, I was entrusted with the hire, installation, and engineering of Audio Visuals for a prestigious exhibition at the Horse Hospital, featuring renowned Berlin-based filmmaker Marianna Simnett. In the field of composition, I create scores for fine-art cinema, collaborating with peers and online clients. Often deploying my software design prowess to create bespoke tools in which aid the scoring process, and often work audio reactive to the video stream.
- Microsoft Excel
- C Programming
- Max MSP
Bsc Electronic Music and Computing TechnologyGoldsmiths, University of London
London, United Kingdom
Predicted First. Notable Areas of Study: AI - studies on network architecture, use of Keras and TensorFlow to create various AI models from scratch. Grade: First. Machine Learning - a study of data science, use of SciKit-Learn, to analyse and instantiate predictive models for datasets. Grade: First. Data and Machine Learning For Creative Practice - Final project: Generative drum machine application, using an RNN model I created, trained on one-hot encoded MIDI files. Grade: First. Extended C++ - work within the JUCE framework for C++ to create a DJ application and 3-band parametric EQ. Grade: First.