Hello! I’m Md Hasibul Hasan, a graduate student currently pursuing my Master’s in Computer Science at the University of Louisiana at Lafayette, with an expected graduation in May 2026. My primary research interest lies in applying deep learning to solve real-world challenges, particularly in domains such as Natural Language Processing, Large Language Models, Computer Vision, and Data Analysis.
Currently, I am working under Dr. Aminul Islam's supervision in the Data Analysis and Deep Learning Lab at the University of Louisiana at Lafayette, where I am working on developing a transformer-based model for the unified representation of Vision Language.
As part of my academic journey, I’ve completed several impactful courses, including Data Mining, Cyber-Physical Security, Analysis and Design of Algorithms, Neural Networks, and Operating Systems. I've also worked on exciting projects such as deadlock detection and prevention algorithms, and X-ray image description generation using deep learning models. Recently, I was honored with the Academic Excellence Award for maintaining a perfect 4.00 GPA.
Before starting my Master’s, I earned my Bachelor of Science in Computer Science and Engineering from Daffodil International University (DIU) in 2020. After graduation, I gained over three years of professional experience as a Data Analyst, contributing to the edtech, e-commerce, and finance industries. During this time, I developed numerous data-driven dashboards, performed cohort and retention analysis, built churn prediction models, and transformed raw data into actionable business insights.
My technical toolkit includes languages like Python, SQL, Java, and C, along with frameworks such as TensorFlow, scikit-learn, and Spring. I have hands-on experience in machine learning, data mining, data visualization, ETL pipelines, and cloud-based analytics.
I’m also deeply passionate about competitive programming. I have participated in several inter-university programming contests, national hackathons, and online judge platforms like Codeforces, Leetcode, Hackerrank, and Kaggle, where I solved numerous algorithmic problems.
In addition, I’ve completed several professional training programs, including:
Google Data Analytics Professional Certificate (Coursera)
Machine Learning and Deep Learning Specialization (Coursera)
Machine Learning A-Z: Hands-On Python & R in Data Science (Udemy)
Mobile Application Development - Android (BITM SEIP)
Outside of academics and work, I enjoy reading books, listening to music, watching documentaries, and exploring new technologies. I’m a quick learner, a collaborative team player, and often take on leadership roles in both academic and professional settings.