Experience & projects

• Stuff yet to come :p

• Worked on stuff :p

• R&D on Background Generator, a feature with over 1 million MAUs
• Fine-tuned diffusion models for image editing tasks such as outpainting
• Back up (carry) research engineer, I helped with research enablement by building out the code for running training on our Anyscale HPC

• Developed a debiasing framework for Stable Diffusion for Canva's Text to Image feature
• Researched and developed bias mitigation strategies targetting Stable Diffusion, addressing harmful and nonrepresentative biases in sensitive categories such as gender and ethnicity

• Managed a team of four to build a real-time sales dashboard using Streamlit, pulling data from NetSuite's REST API. Visualised millions of rows in customer interactions for key insights.

Developed a genetic programming framework using simulation in Julia to address a game theoretic problem called paramless. The problem studies function valued traits, specifically in the context of journal/author dynamics.

Parsed and analyzed commit data from over 30,000 deep-learning libraries using GitHub's REST API and Python to understand the evolution of deep-learning libraries for AutoML

• First Class Honours with a final grade of 90
• Dean's List Award for academic excellence (2021, 2022), Summer and Winter Research scholarships
• Thesis: Bias Modelling and Mitigation in Diffusion Models

• Overseen growth to over 1100 members, running a technical careers evening with over 100 attendees
• Conducted 4 successful coding workshops in Python, covering topics such as FastAPI, discord.py, and web development, reaching over 200 attendees