-Developed frontend for a dash web server making use of data science libraries pytorch, matplotlib scipy and pandas to create, format and store dataframes representing thousands of conditional probability distribution samples.-Developed python code capable of comparing the output of trained models to calculate Kullback-Leibler divergence for conditional probability distributions .-Developed python code capable of plotting conditional distributions to analyse the performance of machine learning models.

Development of an automated distributed measurement system for LiFi products, with the aim to determine the performance based on different distances and angles.