Hi! I'm an electronic engineering and artificial intelligence graduate with experience in Machine Learning. I'm particularly interested in computer vision and natural language processing, two areas that I believe will greatly improve quality of life and access to knowledge. However, I have knowledge of electronic systems, embedded programming and control systems too. I mainly work in MATLAB, Python and C++.
Master's Thesis: Trend detection at scale. This was a research project
which focussed on detecting trends in time series data for a
professional client. Linear Regression, the Mann-Kendall test with the
Theil-Sen method and Bayesian Online Change-Point detection were three
of the methods that were most effective.
Bachelor's thesis: Improving wireless communications with Artificial
Intelligence. I trained a Neural Network with reinforcement learning
to decide on modulation schemes based upon channel interference
parameters.
Thesis: Exploiting Spatial Relations with Transformers. This was a research project looking at whether transformers could recognise spatial relations and context when detecting objects in an image. I fine-tuned the DETR model using pyTorch and cuda, before testing this on synthetic images and bounding boxes that were generated using OpenCV. You can find the final thesis pdf and the code I used at this GitHub Repository
Worked with Python and C++ on real-time computer vision systems in
production.
A list of my responsiblities can be found here.