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Md. Mahi Uddin

Passionate Web Developer & (ML/AI Researcher) specializing in Machine Learning, Deep Learning, web technologies. Transforming complex problems into elegant solutions.

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Md. Mahi Uddin
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About Me

Md. Mahi Uddin

Passionate Computer Engineer & AI Enthusiast

I am Md. Mahi Uddin, a dedicated Computer Science & Engineering student at Southeast University with a deep passion for Artificial Intelligence, Machine Learning, and Web Development.

My journey in technology began with curiosity and has evolved into a commitment to creating innovative solutions that bridge the gap between complex algorithms and real-world applications.

Name:
Md. Mahi Uddin
Email:
mahiuddin9685@gmail.com
Location:
154/4,Road No.01,Mohanagar Project, Dhaka, Bangladesh
Education:
BSc in CSE

Mission

To leverage cutting-edge technologies to solve real-world problems and contribute to the advancement of AI research.

Vision

To become a leading AI researcher and developer, creating impactful solutions that improve lives globally.

My abilities

Technical Skills

Programming Skills

c 80%
c++ 60%
java 75%
python 95%

Development Skills

HTML 97%
css 95%
JavaScript 90%
React 85%

AI/ML Skills

Python 95%
Pandas 82%
PyTorch 75%
NLP 78%
Academic journey

Education & Experience

2021 - Present

BSc in Computer Science & Engineering

Southeast University

Currently pursuing degree with focus on AI, ML, and Software Engineering.

Key Achievements:

  • Member of SEU Computer Club
  • Research on AI for Medical Diagnosis

Relevant Courses:

Data Structures Algorithms Machine Learning Deep Learning Web Development
2023

Worked on developing ML models for healthcare applications.

Responsibilities:

  • Developed pneumonia detection model
  • Implemented attention mechanisms
  • Published research paper
  • Presented at international conference
2022

Developed responsive web applications using modern technologies.

Technologies Used:

React Node.js MongoDB
Academic work

Research & Publications

SEU & USET

Explanatory AI for Pneumonia Diagnosis

Enhancing the Explication Network with Visual Attention Mechanism

Research Paper
Published: Jan 2026
Journal: IEEE Access
Authors: Md. Mahi Uddin et al.

This research introduces a novel explanatory AI framework for pneumonia diagnosis using chest X-ray images, incorporating visual attention mechanisms to improve interpretability and diagnostic accuracy.

Deep Learning Medical AI XAI Computer Vision
Read Paper View Code

Other Research Interests

Explainable AI

Making AI decisions transparent and interpretable

Health Informatics

AI applications in medical diagnosis

Cybersecurity

AI for threat detection and prevention

Blockchain

Decentralized AI systems

My work

Featured Projects

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Get in touch

Contact Me

Email

mahiuddin9685@gmail.com

Phone

+8801865087085

Location

154/4,Road No.01,mohanagar project, Dhaka, Bangladesh

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