Room No: 314, 3rd Floor, Tower – 3, MIST. Mirpur Cantonment, Dhaka-1216, Bangladesh.
Email: shadmanshafeen@gmail.com
PROFESSIONAL EXPERIENCE
- Software Development Intern, Dynamic Solution Innovators
Duration: February 2024 – March 2024
- Lecturer, Department of CSE, Military Institute of Science & Technology (MIST)
Duration: June 2025 – Present
ACADEMIC EXPERIENCE
- B.Sc. in Computer Science and Engineering (4 years)
- Military Institute of Science & Technology
AWARDS/ HONORS
- Achieved Dean’s List of Honor in the First, Second, Third, and Final year of B.Sc
- Achieved Commandant’s List of Honor in the First, Second, Third, and Final year of B.Sc
PUBLICATIONS
[1] Abrar Mahir Esam, Shadman Shafeen Khan, and others. (2025) “AI-Enhanced Application for Incentivizing
Waste Recycling: A Step Towards Sustainable Environment”. Presented in the 2025 IEEE International
Conference on Quantum Photonics, Artificial Intelligence, and Networking (QPAIN 2025).
doi:10.1109/QPAIN66474.2025.11171843
ACADEMIC PROJECTS
- Stacked Transformer Ensemble for Multi-Class Text Classification (2025)
◦Technology: Natural Language Processing, Ensemble Learning, Hugging Face, PyTorch, Scikit-Learn, NLTK
◦ A stacked transformer ensemble framework designed to maximize accuracy on multi-class text classification tasks
leveraging BERT, DistilBERT, RoBERTa and ELECTRA models. - Plant Disease Identification (2025)
◦ Technology: Image Segmentation, Ensemble Learning, OpenCV, PIL, Tensorflow
◦ An automated system that combines segmentation and classification to accurately localize, detect and identify plant diseases utilizing EfficientNetB0, ResNet50 and VGG16 models for classification - Green Cycle (2024)
◦ Technology: Image Processing, Object Recognition, Flutter, NodeJS, Firebase, Flask, YOLO
◦ A computer vision and AI-based gamified recycling mobile application that incorporates gamification elements and AI-based waste categorization, aiding proper waste management and disposal - Ekhonni (2024)
◦Technology: NextJS, Spring Boot, PostgreSQL, Cypress
◦An online e-commerce auction platform offering both transparent real-time bidding and sealed-bid auctions.
- The Green Solution (2023)
◦ Technology: Natural Language Processing, React, NodeJS, MongoDB, TensorFlow
◦A question-and-answer web application between farmers and agronomists, offering native language support, voice-to-text functionality and NLP-based similar question retrieval
RESEARCH INTERESTS
- Natural Language Processing
- Large Language Models
- Expert Systems
- Computer Vision
TECHNICAL SKILLS
Programming Language C/C++, Python, Java, JavaScript,
Web and Android Development Frameworks React, NextJS, ExpressJS ,Flutter
Machine Learning Frameworks and Libraries Hugging Face, PyTorch, Tensorflow, Scikit-Learn, Imbalanced-Learn
Database Oracle, MongoDB, PostgreSQL, Firebase
TEACHING EXPERIENCE
Courses Taught:
- CSE 281: Computer Programming
- CSE 282: Computer Programming Lab
- EECE 408: Artificial Intelligence and Machine Learning Lab
- CSE 308: Operating System Lab
- CSE 464: Software Development Project II
