I am a penultimate year Informatics master’s student specialising in Artificial Intelligence (mostly Machine Learning). I believe that this will give me the potential to have the greatest positive impact on society. I am conducting my honours project on AI Vision for Social Good: Detection of DeepFake Videos (expected to publish late 2021). I currently work part-time as an SQA Engineer at NetAI (Intelligent Network Slicing for 5G) and a ML Engineer at Eczamine (Eczema Severity Classification/Prediction) I have prior experience in industries involving financial technology and banking software. I have acquired over two years of real-world experience in an agile development environment and proficiency in multiple programming languages. I work well under pressure and have a love for mathematics and problem-solving. I am interested in Machine Learning and its applications for the betterment of society. Outside of work I enjoy hitting the gym, playing badminton, hiking and occasionally (if I'm *really* lucky with the weather) skydiving.
Proficiency in multiple programming languages including Python, Haskell, C/C++, Java, JavaScript, MATLAB, and more. With over two years of real-world agile software development experience at Allatus Ltd, a small fintech start-up.
Experience with a variety of ML frameworks including PyTorch, Keras, and FastAI. With real-world applications from, the detection of DeepFake videos using ConvLSTMs, to classifying trash from recycling with ResNet to help create a self-sorting AI smart waste container.
Adept with JavaScript, HTML & CSS in conjunction with frameworks like Dojo Toolkit and React which I have used to continuously improve and maintain web apps at my previous workplace. As well as some experience with ASP.NET (C#) and creating RESTful APIs.
Knowledge of fundamental algorithms & data structures with a deep understanding of time complexity used to optimise code. e.g. improving run-time of graph visualisations from 30s to 0.2s w/ 500,000+ vertices at a previous job.
Skilled at creating high-quality professional videos and tutorials for web applications. I was responsible for editing and recording all the videos at my previous workplace using tools like Sony Vegas/Camtasia Studio.
I am a naturally logical person with a strong mathematical background. I have a deep understanding of the maths behind (most) state-of-the-art Machine Learning algorithms. Awarded the Dux of Mathematics & James H Scott Award for Mathematics. I enjoy puzzles and finding creative solutions to problems of any kind.
Work exceptionally well in groups where I excel at communication, planning, and negotiating. E.g. I was the tech lead for an AI smart bin which used computer vision and ML to detect the category of “trash” for self-sorting, under tight deadlines (System Design Project 2019)