Financial AI Engineer & Product Developer – Data labeling for LLM fine-tuning and automated document systems
I fine-tuned large language models by engineering LLM pipelines and translating client requirements into labeled data specifications. I contributed to automating investment memo generation systems utilizing LLM deep research on commercial real estate and macro strategy data. My responsibilities included orchestrating scalable LLM pipelines for extracting and labeling meaningful data insights from over 50,000 financial documents. • Collaborated with engineers to design the labeling process for robust model training. • Ensured high accuracy in labeled datasets for LLM fine-tuning and inference. • Applied deep research methods using LLMs to identify actionable insights. • Oversaw end-to-end quality assurance for labeled data used in generative AI workflows.