PhD research intern working in: retrieval and augmented generation (RAG) and Large Language Models (LLMs) for code generation.

Tutoring and advising research projects in Natural Language Processing.

I worked as an online tutor guiding students through concepts in statistics and machine learning. This requires a proficiency in R for the statistical techniques covered in the course.

I worked as an online tutor guiding students through difficult concepts in statistics and machine learning. This requires a proficiency in Tableau and Python for the selected techniques covered in the course.

University of Cape TownProviding help with regards to subject matter for an online Business Analytics course. The skills learned:Tableau, SQL, Python and explaining difficult statistical/machine learning concepts to colleges.London School of EconomicsProviding help with subject matter for an online Machine Learning course. The skills learned: Applying dimension reduction and clustering methods for difficult real world datasets. Interpretations with applications for business.

Masters in Deep Learning at EPFL

I helped lecture + tutor for the UniDistance Programme : Master in Artificial Intelligence. Courses: fundamentals of Machine learning, Natural language processing.

Managing and coordination of the large first year statistics course STA1000.

This role requires strong leadership and organizational skills to manage the committee and organize the events for the club. It requires a professional relationship with surf brands and related organizations. The club won "Club of the Year " and the "Transformation" award during 2019.

Managing emails, administration and taking minutes for the committee while getting involved in organization of events.

Statistics Tutor For First year course

I worked amongst a diverse team of machine learning engineers and data scientists. I helped implement transfer learning using RNN and CNN models for financial timeseries data. The key takeaway skills I learned included: Using a Linux operating system as opposed to Windows and VIM as an editor. Using a git workflow for working in a team. Using shell scripts to run experiments and documentation for reusability. Learning the value of python as opposed to R. Coding in a standard way so that it is easier to review and maintain human readability. Setting up virtual environments for python and their importance in industry. Working and deploying my machine learning models on Google cloud through SSH.

I worked in SQL writing scripts for large databases on eighty20s data portal. This tested knowledge of data wrangling, manipulation and analysis. Concurrently I worked in R and focused on creating a user friendly interface in shiny to cluster data. All in all my skills were tested and stretched in real work examples.

I worked in a team on a public interest project that created a visualization of the water crisis in South Africa. Using consumption data and dam levels we managed to create an interactive dashboard that visually displays and informs the user about the current situation. Here you can see the final product:http://water.eighty20.co.za/