About Me
Get to know more about my background and skills
Who I Am
I'm Shuvashis Sarker, a passionate AI researcher, developer, and educator specializing in Machine Learning, Deep Learning, Computer Vision, and Natural Language Processing. I'm currently working as an Adjunct Lecturer at Southeast University, teaching Digital Logic Design and Algorithm courses.
With practical experience in TensorFlow, PyTorch, and advanced deep learning frameworks, I enjoy developing AI-driven solutions for healthcare, language technologies, and signal processing. My academic and industry work equips me with a strong foundation in algorithms, system design, and optimization.
I'm particularly interested in explainable AI and real-world applications of machine learning, where I have contributed through research publications and collaborative projects in healthcare and language processing.
Education
Bachelor of Science in Computer Science and Engineering
Ahsanullah University of Science and Technology (AUST)
Higher Secondary Certificate (HSC)
Dhaka Residential Model College
Secondary School Certificate (SSC)
Dhaka Residential Model College
Skills
Machine Learning & Deep Learning
Languages
Frameworks/Libraries
Concepts
Achievements
- •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.