Master's in Computer Science specializing in Deep Learning, Medical Image Analysis, and NLP. Building intelligent systems for real-world impact.
I am a passionate Computer Science researcher and engineer with a Master's degree from East West University. My work focuses on leveraging Machine Learning and Deep Learning to solve complex problems in medical imaging and natural language processing.
Currently, I am actively seeking a PhD opportunity to further advance my research. My work spans medical image analysis, sentiment analysis, deceptive review detection, and natural language processing for low-resource languages, with a strong focus on developing robust and scalable AI-driven solutions.
East West University, Dhaka, Bangladesh
Algoramming, Dhaka, Bangladesh (Remote)
East West University (EWU), Dhaka, Bangladesh
Major
Data Science
GPA
3.75 / 4.0
East West University (EWU), Dhaka, Bangladesh
Major
Intelligence System and Data Science
GPA
3.53 / 4.0
Supervisor
Dr. Mohammad Rifat Ahmmad Rashid
Associate Professor, Dept. of CSE, EWU
Institution
East West University
Proposed an automated system for Diabetic Retinopathy detection using deep learning models enhanced with attention mechanisms to improve feature extraction. Integrated Explainable AI (XAI) techniques like Grad-CAM to interpret model decisions and enhance clinical trustworthiness.
Supervisor
Dr. Mohammad Rezwanul Huq
Associate Professor, Dept. of CSE, EWU
Institution
East West University
Developed a machine learning-based innovative software designed to convert handwritten Bangla text into digital format. Implemented deep neural networks to improve recognition accuracy for handwritten Bangla characters, optimized for real-world applications including document digitization.
EWU Computer Programming Club (EWUCoPC)
Leading programming initiatives, organizing coding competitions, and mentoring students in competitive programming and software development.
East West University Sports Club
Active member contributing to sports activities and event organization at the university level.
Undergraduate Studies
Consistently featured for maintaining an outstanding CGPA above 3.50 in undergraduate studies. Recognized for academic excellence and dedication.
Master's Studies
Consistently featured for maintaining an outstanding CGPA above 3.75 in Master's studies. Honored for exceptional academic performance in graduate research.
Peer-reviewed research contributions
ICO 2023, Springer
Lecture Notes in Networks and Systems, vol. 1167
ICO 2023, Springer
Lecture Notes in Networks and Systems, vol. 1167
ICO 2023, Springer
Lecture Notes in Networks and Systems, vol. 729
ICO 2023, Springer
Lecture Notes in Networks and Systems, vol. 852
CIIR 2023, Springer
Lecture Notes in Networks and Systems, vol. 1139
CIIR 2023, Springer
Lecture Notes in Networks and Systems, vol. 1025
Interested in collaborating or have a research inquiry? I'd love to hear from you.