I am a passionate Software Engineer from Bangladesh 🇧🇩 with experience in Full Stack Development, Software Quality Assurance, and Machine Learning Research.
I enjoy building scalable web applications, developing robust backend systems, automating testing processes, and researching AI-driven solutions that solve real-world problems.
- 🌐 Build modern web applications
- ⚙️ Develop RESTful APIs and backend services
- 🧪 Perform Manual & Automation Testing
- 🤖 Explore Machine Learning and AI technologies
- 🔬 Conduct research in Fake News Detection
- 📚 Continuously learn and improve
- HTML5
- CSS3
- JavaScript (ES6+)
- TypeScript
- React.js
- Next.js
- Tailwind CSS
- Bootstrap
- Node.js
- Express.js
- Python
- MongoDB
- MySQL
- PostgreSQL
- Git
- GitHub
- Docker
- Linux
- VS Code
- Postman
- Requirement Analysis
- Test Planning
- Test Scenario Design
- Test Case Development
- Smoke Testing
- Sanity Testing
- Regression Testing
- Functional Testing
- Integration Testing
- System Testing
- User Acceptance Testing (UAT)
- Boundary Value Analysis (BVA)
- Equivalence Partitioning (EP)
- Decision Table Testing
- State Transition Testing
- Error Guessing
- Postman
- REST API Testing
- Authentication Testing
- Request & Response Validation
- JSON Verification
- Cypress
- Jest
- End-to-End Testing (E2E)
- UI Automation Testing
- Test Automation Frameworks
- Machine Learning
- Deep Learning
- Natural Language Processing
- Computer Vision
- Artificial Intelligence
- Fake News Detection
- Scikit-Learn
- Pandas
- NumPy
- TensorFlow
- PyTorch
- XGBoost
- Matplotlib
Comprehensive Analysis of Machine Learning Models and Neural Networks for Fake News Detection
Research focused on comparing traditional machine learning algorithms and neural network architectures for detecting fake news in Bangla language datasets.
- Logistic Regression
- Naive Bayes
- Support Vector Machine (SVM)
- Random Forest
- XGBoost
- Neural Networks
Professional cleaning service platform with modern design, optimized performance, and responsive user experience.
Machine Learning-powered fake news classification system using NLP techniques and multiple classification algorithms.
Complete e-commerce solution featuring authentication, product management, shopping cart, and admin dashboard.
Automation testing framework developed using Cypress and Jest for efficient UI and API testing.
- Advanced Next.js
- System Design
- Cloud Computing
- Docker & Kubernetes
- DevOps Practices
- Test Automation Frameworks
- Advanced Machine Learning
- Full Stack Development
- Software Engineering
- Software Testing
- API Development
- Database Design
- Machine Learning Research
- Problem Solving
- Team Collaboration
- Continuous Learning
- Become an expert Software Engineer
- Build impactful software products
- Contribute to Open Source
- Advance AI and Machine Learning research
- Develop scalable and secure systems
- Deliver high-quality software through effective testing
- GitHub: https://github.com/mazed2020
- LinkedIn: YOUR_LINKEDIN_URL
- Email: mazedulislam959@gmail.com
"Code with purpose, test with precision, and learn continuously."
"Technology becomes valuable when it solves real-world problems."