I am working on biomedical multilingual machine translation and summarization of electronic
health records using large language models (LLMs). My recent projects focus on uncertainty
quantification in LLMs and controlling text readability for different users in medical contexts.
I am also exploring the use of multi-agent systems to improve translation and summarization.
🍀 If you are interested in collaboration or research opportunities, feel free to reach
out!
I am a Research Assistant at the University of Massachusetts Lowell, supervised by Dr. Hong Yu. I'm currently on study leave from my position as a Lecturer in the Department of Computer Science and Engineering at Khulna University of Engineering & Technology (KUET).
My research focuses on machine translation and multi-agent systems using LLMs. My work has been published in journals and presented at conferences like EMNLP. My interests include NLP (LLM Quantization, Transformers, Text Generation), Machine Learning (CNNs, Time Series), and Generative AI (GANs, Diffusion Models).
Academic & Work TimelineOutside of research, I enjoy playing FIFA, traveling, and watching sci-fi and thriller movies. Some favorites include Interstellar, Dark, and Stranger Things.
Focusing on CNNs for multimodal applications, time series analysis, and bioinformatics.
Working on LLM fine-tuning, quantization, text translation, summarization, and multi-agent systems.
Exploring the capabilities of Generative Adversarial Networks (GANs) and Diffusion models for novel data creation.
I have strong programming skills in Python and C++, with extensive experience in the PyTorch ecosystem for machine learning and NLP. I specialize in fine-tuning and quantizing Large Language Models (LLMs) using libraries like Unsloth and PEFT. My work also involves data structures, algorithms, and database management with SQL.
Learn Moremdshahidul_salim@student.uml.edu
shahidulshakib034@gmail.com
132 University Ave, Lowell, MA, USA