Hi, I'm Shuvashis Sarker
Lecturer & Academic Mentor
Machine Learning & Deep Learning Researcher
Computer Vision & Signal Processing Specialist
Natural Language Processing & Language Model Researcher
I’m a researcher, developer, and lecturer specializing in Machine Learning, Deep Learning, Computer Vision, and NLP, focused on solving real-world problems.
Technical Skills
My expertise across various technologies and tools
TensorFlow
Keras
PyTorch
Scikit-learn
Pandas
NumPy
Matplotlib
Seaborn
OpenCV
Explainable AI
Hugging Face Transformers
Transfer Learning
CNN
Vision Transformers (ViT)
Statsmodels
SARIMA / ARIMA
YOLOAchievements
Recognition and milestones from my technical journey
Awarded Best Technical Presentation at ICCIT 2024 for presenting a deep learning-based lung disease detection system with explainable AI.
Published research on heart sound classification using Butterfly Optimization and Deep Learning at ESCI 2025, Pune.
Presented a study on Bangladeshi leaf disease detection using Transfer Learning and XAI at ICCIT 2024.
Published research on Vision Transformer and Transfer Learning for Brain Disease Detection at ICCIT 2024.
Presented a deep learning-based lung disease detection system with Explainable AI at ICCIT 2024.
Published research on Eye Disease Classification using Fuzzy Rank-Based Ensemble Learning at ICECE 2024.
Published a study on Brain Tumor Classification using Transfer Learning and Explainable AI at STI 2024.
Presented an analysis of COVID-19 Detection using Bangladeshi data and Explainable AI at ICISET 2024.
Published research on Bangla Regional Dialect Detection using BERT, LLMs, and XAI at COMPAS 2024.
Published research on Advanced CNN and Explainable AI for Brain MRI Analysis at ICCA 2024.
Organized and managed Inter-University Programming Contests as Executive Member of AUST Programming and Informatics Club.
Led sponsorship and logistics management for 2 National Science Carnivals as Treasurer of DRMC Science Club.
Recommendations
What mentors and colleagues say about my work