Sajratul Yakin Rubaiat
I’m Sajratul Yakin Rubaiat, a PhD student at the University of Idaho specializing in Large Language Models (LLMs) and database systems. My research lies at the intersection of artificial intelligence and database engineering, where I explore innovative ways to apply LLMs in fields requiring real-time information, such as journalism and biomedical research. I am supervised by Dr. Hasan Jamil and work in the SmartDatabase Lab, where we’re developing advanced database solutions driven by AI.
Previously, I worked as a Senior Software Engineer at Enosis Solutions and Practice by Numbers, where I led projects focused on data synchronization, campaign automation, security enhancements, and UI/UX improvements, optimizing systems for performance and reliability across global teams. My experience also includes developing machine learning solutions for early diagnosis in medical applications, such as pneumonia detection through X-ray analysis and diabetes prediction as part of my undergraduate research.
Additionally, I have experience in competitive programming, having participated in the ACM ICPC, which sharpened my problem-solving skills. I’m an avid learner with strong foundations in Python, C++, and Java, along with proficiency in frameworks like TensorFlow, PyTorch, Django and React. When I’m not immersed in research or coding, I enjoy cooking, exploring new cuisines, and discovering scenic spots around Idaho.
Publications
Design Recommendations towards Developing a Smartphone-Based Point-of-Care Tool for Rural Bangladeshi Users
MK Hasan, D Saxena, Y Rubaiat, SI Ahamed, S Guha
International Journal of Human–Computer Interaction 40 (4), 965-985
Efficacy of Transfer Learning Models in Pneumonia Detection with Scarce Local Healthcare Data
S. N. Sakib, S. Y. Rubaiat, Raihan Masud, Manash Sarker, Chinmay Bepery
International Conference on Electrical and Control Engineering 2022
Pneumonia Detection Using Deep Transfer Learning in Gender Specific Chest X-ray Images
S. N. Sakib, Raihan Masud, S. Y. Rubaiat, Chinmay Bepery, Manash Sarker, M. Hasan
2021 International Conference on Electronics, Communications and Information Technology (ICECIT) 2021
Important Feature Selection & Accuracy Comparisons of Different Machine Learning Models for Early Diabetes Detection
S. Y. Rubaiat, Md Monibor Rahman, Md. Kamrul Hasan
International Conference Innovation Engineering and Technology 2018