AI Application Engineer (LLM Integration)
Worked on integrating large language models (LLMs) into backend systems to power AI-driven search, recommendations, and workflow automation. Prepared and structured text datasets for training and inference, including cleaning, labeling, and validating data to ensure high-quality model outputs. Built prompt orchestration pipelines and designed input/output formats to improve model accuracy and consistency in real-world fintech use cases. Collaborated with product and engineering teams to align training data with business goals like transaction insights, user recommendations, and intelligent search. Also developed automated validation and data quality checks to reduce noise in training data and improve overall model performance in production systems.