Lauren Le Peng

AI Engineer Intern

• Owned an LLM-powered radiology documentation system from prototype to production, converting Cantonese-English dictation into structured reports.
• Built model-evaluation workflows using LLM-as-judge scoring and ablation studies to guide model selection.
• Implemented bounded parallel processing for an audio-documentation workflow.
• Built release checks and versioned run logs to trace outputs to model and prompt versions.

Student Helper

• Main developer of Utter, an AI speaking-practice app and instructor portal using Flutter, Next.js and Supabase. Prepared an iOS release candidate with authenticated provider APIs, Apple sign-in and account deletion.
• Built speaking-feedback evaluation workflows and refined feedback prompts.
• Contributed structured QA and launch coordination across teaching staff and IT security; release and integration work continued into September.

AI Algorithm Intern

• Built a Neo4j knowledge graph and LLM retrieval layer grounding answers in structured facts; adopted by the research team.
• Developed BERT entity extraction and standardized data preparation.
• Worked on few-shot exemplar selection and prompt design for classification.

AI Engineer Intern

• Built enterprise retrieval-augmented generation over financial reports.
• Created Python, Pandas and Camelot pipelines to extract complex PDF tables into structured datasets.
• Translated investment-team requirements into specifications and contributed to on-premise deployment.

MSc in Artificial Intelligence

Requirements completed; formal degree conferral scheduled for 15 October 2026.

BEng in Intelligence Science and Technology