Professional Overview
Entry-level Computer Science graduate with academic and project-based experience in Python, SQL, data analysis, software development, and AI applications. Strong interest in Artificial Intelligence and Machine Learning, with foundational knowledge of LLMs, prompt engineering, and AI-assisted solution development.
Areas of Expertise
AI & Machine Learning Engineers
Design, train, and ship production ML models — from data pipelines to model inference at scale. Covers supervised learning, neural networks, LLM integration, and model optimisation.
data science & analytics
Extract business insights from raw data using statistical modelling, predictive analytics, A/B testing, and interactive dashboards.