I graduated in Computer Science and Engineering from North South University, Bangladesh, and currently work under the supervision of Dr. Mohammad Rashedur Rahman on developing efficient techniques tailored for resource-constrained devices. This work ensures advanced computational methods perform reliably on limited hardware resources, making them viable for real-world deployment.
In parallel, I am working as a Quality Analyst at Invisible Technologies Inc. In my role, I evaluate tasks completed by trainers to ensure they meet campaign standards and align with the most up-to-date instructions. This includes evaluating their performance on diverse tasks, identifying strengths and weaknesses, and contributing to benchmarks focused on accuracy, coherence, and execution.
Experience
Invisible Technologies Inc., USA
Quality Analyst — Sept 2025 - Present
Coding Artificial Intelligence Trainer — Apr 2025 - Sept 2025
Advanced Artificial Intelligence Trainer — Feb 2025 - Mar 2025
Intermediate Artificial Intelligence Trainer — Apr 2024 - Jan 2025
North South University, Bangladesh
Research Assistant (under Dr. Mohammad Rashedur Rahman) — Apr 2025 - Present
Research Assistant (under Dr. Shahnewaz Siddique) — Dec 2023 - Sept 2024
See the complete experience overview for detailed responsibilities.
Education
North South University, Bangladesh
Department of Electrical and Computer Engineering
BS, Computer Science and Engineering
2019 - 2023
Publications
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M. Y. Hossain, M. M. H. Rakib, S. Rajit, I. R. Nijhum, R. M. Rahman, Adaptive and automatic aerial image restoration pipeline leveraging pre-trained image restorer with lightweight Fully Convolutional Network, Expert Systems with Applications, 2025 [Paper]
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S. Rajit, Z. F. Ananna, M. M. Ehsan, N. N. Punom and S. Siddique, Multi-Class Brain Tumor Classification of MRI Image Using Federated Learning with Blockchain, IEEE Region 10 Symposium (TENSYMP), 2024 [Paper]
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S. Rajit, M. A. A. Sayed, Federated Learning Based Histopathological Image Classification for Oral Squamous Cell Carcinoma, 8th IEEE-EMBS Conference on Biomedical Engineering and Sciences (IECBES), 2024 [Paper]
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S. Rajit, T. Rahman, Classification of Potent Dengue Inhibitors using 2D Molecular Images with Structure-based augmentation and Grad-CAM Visualization [Under Review]
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M. Y. Hossain, S. Rajit, M. M. H. Rakib, S. Dev, Reformulating Low-Light Image Enhancement as a Multi-Exposure Fusion Problem. [Under Review]
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M. M. H. Rakib, S. Rajit, M. Y. Hossain, I. R. Nijhum, R. M. Rahman, A Lightweight Biologically-Inspired Attention Module Through Center–Surround and Edge-Aware Priors. [Under Review]
Peer Review Activities
- Expert Systems with Applications [Certificate]