Responsibilities include:
Responsibilities include:
Thesis on Understanding Model Collapse in Large Language Models, a degradation in factual accuracy that arises under recursive synthetic training. Supervised by Prof Philip Treleaven and in collaboration with Holistic AI.
Courses included:
GPA: 3.52/4.0 (Cum Laude)
Courses included:
Transforming raw data into real-world impact through statistical insight, machine learning, and storytelling.
Fluent in the language of data, PostgreSQL, BigQuery, and more, mastered for speed and clarity.
Taming massive models to reason, recall, and respond like a pro, without hallucinating.
From experimentation to production, building ML pipelines that scale and survive.
Weaving knowledge from documents into LLMs using Retrieval-Augmented Generation.
Keeping algorithms honest and aligned, because ethics is not optional.
Building smart automations that connect tools, trigger actions, and save hours, no code, just flow.
Rapid prototyping of interactive AI/ML apps, turning notebooks into polished tools in minutes.
Native speaker
IELTS overall band score - 7.5
Advanced proficiency