Software engineer with 7+ years of product experience, now focused on building applied LLM systems. Currently an AI Engineer Intern at Narwhal, where I’m developing an agentic AI assistant for maritime logistics, while completing the University of Cambridge Data Science & AI programme.
End-to-end retrieval-augmented generation system over a curated ML/AI knowledge base of 2,747 chunks and ~1.07M tokens, with source previews and refusal behaviour to reduce hallucination.
Multi-stage supervised learning workflow predicting dropout risk across three stages of the student journey, framed around practical intervention timing and business-facing recommendations.
Unsupervised anomaly detection for ship engine sensor data in a predictive-maintenance context, comparing IQR, One-Class SVM, and Isolation Forest with PCA for visual analysis.
Transaction-level clustering workflow with feature engineering, K-means, PCA, and t-SNE. Five-cluster solution selected via silhouette analysis, translated into actionable business recommendations.
Open to full-time AI engineering roles focused on turning real-world data into reliable automation and decision-support tools.
Data Science with Machine Learning & AI Career Accelerator — currently in advanced NLP module, employer-led capstone due July 2026.
Available for full-time AI engineering roles from August 2026.