About Me

AI/ML Researcher & Engineer

I am a researcher working on developing trustworthy AI methods for healthcare in resource-limited settings. My research spans multimodal medical AI systems processing diverse data types, including tabular clinical records, medical imaging (chest X-rays, ECG), and IoT sensor streams. Notably, I have developed open-source bias mitigation frameworks for medical AI, maternal health prediction systems, multimodal diagnostic platforms, and demonstrated cross-modal bias amplification in clinical AI systems.

Publications

80+

Citations

h-index

Research Labs

Education

B.Sc. in Computer Science Engineering

University of Information Technology and Sciences

Dhaka, Bangladesh

Feb 2023

GPA: 3.62/4.0

Thesis:

"A Multi-Disease Prediction Framework: Leveraging Machine Learning and Real-Time Applications for Improved Health Outcomes"

Relevant Coursework:

Machine Learning Data Mining Information Retrieval Image Processing Data Structures & Algorithms Computer Networks Operating Systems

Technical Expertise

Programming

Python Expert

C/C++ Advanced

JavaScript/TypeScript Advanced

SQL Advanced

300+ competitive problems solved

AI & Machine Learning

Deep Learning & Neural Networks Expert

Computer Vision Expert

Medical AI & Healthcare Systems Expert

Bias Mitigation & Fairness Expert

PyTorch TensorFlow Scikit-learn OpenCV

ML/AI Frameworks

PyTorch Scikit-learn TensorFlow OpenCV MediaPipe Weights & Biases

Specialized in medical AI and bias mitigation

Data Science & Analytics

Statistical Analysis & Modeling Expert

Data Visualization Advanced

Feature Engineering Expert

Pandas NumPy Matplotlib Seaborn

Software Development

Version Control (Git) Expert

API Development Advanced

Testing & Debugging Advanced

Git Jupyter VS Code Streamlit

Research Methods

• Experimental Design
• Statistical Analysis
• Systematic Reviews
• Meta-analysis
• Bias Detection & Mitigation
• Fairness Evaluation

Achievements & Recognition

Academic & Research Awards

1st Place
Inter-university PowerPoint Presentation Competition, UITS 2020
2nd Place
Inter-university Programming Contest (45 teams), UITS 2022
Fastest Problem Solver
UITS Victory Day Programming Contest 2021
Employee of the Month
Primacy Infotech LTD, August 2023

Standardized Test Scores

GRE 307/340

Quantitative: 153, Verbal: 154, Analytical Writing: 3.0

TOEFL 98/120

Reading: 28, Listening: 28, Writing: 21, Speaking: 21

IELTS 6.5/9.0

Listening: 7.0, Speaking: 6.5, Writing: 5.5, Reading: 6.0

Duolingo 135/160

Competitive Programming

300+

Problems Solved

Codeforces: NM_Nayan

Years Active

Beecrowd: NMNAYAN

Research Interests

My research is driven by the goal of making AI systems more trustworthy, fair, and beneficial for healthcare applications, particularly in resource-limited settings.

Current Focus

• Bias mitigation in medical AI
• Multimodal healthcare systems
• Privacy-preserving ML
• Explainable AI for medicine

Future Directions

• PhD in Artificial Intelligence
• Cross-modal bias analysis
• Edge AI for healthcare
• Trustworthy AI frameworks