Led a team of four as a Research Intern at Samsung R&D, specializing in advancing Visual Question Answering (VQA) technology. Leveraged cutting-edge machine learning techniques, including object detection and Long Short-Term Memory (LSTM) networks, along with Large Language Models (LLMs) to automate data creation and streamline VQA pipelines. Developed two tailored pipelines for open-ended questions and question-and-answer formats, optimizing for scalability and performance. Curated the IQA2K… Show more Led a team of four as a Research Intern at Samsung R&D, specializing in advancing Visual Question Answering (VQA) technology. Leveraged cutting-edge machine learning techniques, including object detection and Long Short-Term Memory (LSTM) networks, along with Large Language Models (LLMs) to automate data creation and streamline VQA pipelines. Developed two tailored pipelines for open-ended questions and question-and-answer formats, optimizing for scalability and performance. Curated the IQA2K dataset (Image Question Answers, 2000 images), contributing to the bench-marking and training of other VQA models. Show less