About
I'm a problem solver, fast learner, and researcher with a BSc in Computer Science & Engineering from American International University-Bangladesh (AIUB). I'm currently pursuing a Master of Engineering Science at Multimedia University (MMU), Cyberjaya, Malaysia, with research focused on mathematical optimization, machine learning, and deep learning for real-world applications.
I thrive in both collaborative and independent settings and am always eager to expand my skills through challenging projects, mentorship, and open research. Proficient in LaTeX (Overleaf) for technical writing, I'm open to research collaborations, open-source contributions, and opportunities to join impact-driven teams.
Professional Experience
Graduate Research Assistant
- Designing optimization models integrated with ML for healthcare prediction tasks.
- Developing explainable AI pipelines using feature selection and model interpretability techniques.
AI Research Intern
- Prototyped ML models for behavioral data analysis.
- Contributed to dataset curation and evaluation using Orange and Weka.
Research Trainee
- Explored AI applications in Islamic fintech and risk assessment.
- Analyzed financial behavior patterns using data mining techniques.
Technical Expertise
Research Areas
- Mathematical Optimization
- Machine Learning
- Deep Learning
- Explainable AI (XAI)
- Healthcare Informatics
Languages & Tools
- Python (scikit-learn, PyTorch)
- C / C++
- Bash
- LaTeX / Overleaf
- Orange, Weka, Google Colab
Databases
- PostgreSQL
- MySQL
- Oracle
- NoSQL (MongoDB)
Languages
- English (Fluent)
- Bangla (Native)
Publications
Preventing Student’s Mental Health Problems with the Help of Data Mining
International Journal of Computing, 23(1), 101–108 (2024)
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A novel integrated logistic regression model enhanced with recursive feature elimination and explainable artificial intelligence for dementia prediction
Healthcare Technology Letters (2024)
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