Hero Portrait
Hello

MD.Nurzaman

A website isn't just something I build—it's something I imagine uniquely. I believe in thinking differently, designing meaningfully, and coding with care.

But who am I?

About Me

About Me Portrait

Hello! I'm MD.Nurzaman, a passionate and creative web developer currently pursuing Computer Science at Green University of Bangladesh. My journey in web development started as a childhood fascination and has evolved into a professional pursuit.

I specialize in building responsive and intuitive websites using modern technologies. My expertise includes:

  • Frontend Development with HTML, CSS, and JavaScript
  • Backend Development using Python and SQL
  • Modern Frameworks like React.js and Vue.js
  • Clean Code Architecture and User-Centric Design

Beyond coding, I've demonstrated leadership through:

  • Leading Project and Thesis Teams
  • Participating in National and International Events
  • Active Involvement in Student Organizations
  • Contributing to Volunteer Work

When I'm not coding, I enjoy battle royale games - they sharpen my strategic thinking and problem-solving abilities.

My Academic Journey

Education

My academic qualifications and achievements

Bachelor of Science (B.Sc.)

Computer Science and Engineering (CSE)

Green University of Bangladesh

Feb 2022 – jan 2026

  • Focusing on web development and software engineering
  • Actively participating in programming competitions and tech events

Higher Secondary Certificate (H.S.C.)

Cantonment Public School & College, Saidpur

Dinajpur Board-2019

Group: Science | GPA: 4.67

  • I have actively participated in various science fairs and competitions

Secondary School Certificate (S.S.C.)

Setabgonj Ideal Academy, Setabgonj, Dinajpur

Dinajpur Board-2017

Group: Science | GPA: 5.00

  • Active participation in school's science club
What I Know

Technical Skills

Technologies I've worked with

C
C (95%)
C++
C++ (90%)
Python
Python (30%)
Java
Java (25%)
HTML5
HTML5 (90%)
CSS3
CSS3 (85%)
JavaScript
JavaScript (40%)
React
React (20%)
Node.js
Node.js (25%)
MongoDB
MongoDB (40%)
MySQL
SQL
MySQL (60%)
My Work

Projects

Here are some of my notable projects

QuickShop Project

QuickShop: A Web Application for Local Shop Support

Developed a full-stack e-commerce platform with role-based access for admin, users, sellers, and delivery personnel.

Key Features:
  • Role-based access control for admin, users, sellers, and delivery personnel
  • Price negotiation system between buyers and sellers
  • User authentication and authorization
  • Product and inventory management system
  • Order tracking and delivery coordination
  • Support for local shop onboarding and online sales
  • Part-time job opportunities posted by sellers and shop owners
Tech Stack:
HTML CSS Bootstrap Python Flask/Django MySQL
AcademiaHub Project

AcademiaHub – University Website Management System

AcademiaHub is a modern University Website Management System that unites students, teachers, and administrators on one platform. It streamlines academic and administrative tasks for a smooth, efficient experience.

Key Features:
  • ✅ Modern web technologies
  • ✅ Secure authentication
  • ✅ Course & class management
  • ✅ Attendance & results tracking
  • ✅ User-friendly dashboard
Tech Stack:
HTML CSS PHP MySQL
My Research Work

Research

Current thesis and research projects

Detection and Classification of Brain Tumor by Using a Deep Learning Framework

Research Supervisors:

Supervisor: Tanpia Tasnim

Lecturer & PC, Dept. of CSE

Co-Supervisor: Fatema Tuj Johora

Lecturer & PC, Dept. of CSE

Research Overview:

A brain tumor is an abnormal growth of cells in the brain, which can be benign or malignant, affecting around 250,000 people globally each year. Early and accurate diagnosis is crucial for effective treatment and improved patient survival. Traditional MRI-based detection is slow and prone to human error. To address this, our research proposes an AI system using YOLOv11 for tumor localization and a custom CNN to classify Glioma, Meningioma, and Pituitary tumors, providing faster and more reliable assistance to doctors.

Key Technologies:
  • YOLOv11 for real-time tumor detection
  • CNN/Custom CNN for precise classification
  • Advanced MRI image processing techniques
Research Goals:

“To enhance the accuracy of medical diagnosis, assist healthcare professionals through automated analysis, and develop real-time tumor detection capabilities.”

My Leadership Journey

Leadership Experience

My roles and responsibilities in various leadership positions

I have demonstrated strong leadership across academic and extracurricular domains, leading with vision and fostering collaboration.

Event Management

Actively participated in and helped organize various departmental events, including technical seminars, workshops, and cultural programs, demonstrating strong organizational and coordination skills through involvement in end-to-end event management.

Project Team Lead

Led the development of a full-stack e-commerce platform, managing team coordination and making key technical decisions. Ensured successful project delivery through effective task distribution and milestone tracking.

Research Team Lead

Currently leading a research team in developing an innovative brain tumor detection framework using deep learning. Coordinating research activities and fostering collaborative innovation in medical image processing.

Interests

Things I Love

Developing

After designing, I dive into development. Coding is where I bring designs to life, turning concepts into digital experiences. Each line of code reflects my vision for functionality and elegance, showcasing my commitment to excellence.

Expanding

Expanding beyond creation, I optimize. From templates to full websites, I refine post-development. Leveraging blogging and basic SEO, I enhance visibility and impact online. Each step maximizes reach and effectiveness online.

What's next!

Get In Touch

Interested in working together? We should schedule a time to chat. I'll bring the coffee.

Contact Photo

Direct Contact Information