I build responsive web applications, backend systems, business software, data workflows, and intelligent solutions that solve practical problems.
I am a Computer Science and Engineering graduate with professional and project experience in full-stack development, web application engineering, data processing, reporting automation, machine learning, and deployment.
- Building responsive frontend applications and reusable components
- Developing backend services and integrating REST APIs
- Working with relational and NoSQL databases
- Creating business systems with approval workflows and validation controls
- Deploying web applications and resolving production issues
- Applying Python, SQL, data analysis, and machine-learning techniques
- Interested in practical, maintainable, and scalable software engineering
A custom enterprise fund-management module covering incoming funds, allocation, requisition, billing, transfers, approval workflows, validation, access control, and audit logs.
Key features
- GM and MD approval workflows
- Fund allocation and requisition management
- Balance and financial validation
- Double-allocation and over-billing prevention
- Role-based access rights and record rules
- Audit trails and dashboard monitoring
- Docker-based development environment
Technology stack
Odoo 18 Python PostgreSQL Docker XML Git
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A full-stack surveillance solution designed for real-time detection, recognition, restricted-zone monitoring, person re-identification, and automated alerts.
Key features
- Real-time face detection and recognition
- Person re-identification
- Restricted-zone monitoring
- Automated email alerts
- React frontend and FastAPI backend
- MongoDB and computer-vision integration
Technology stack
Python FastAPI React MongoDB YOLOv11 InsightFace OpenCV
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A responsive corporate website developed with a Vue frontend, Strapi CMS, REST API integration, PostgreSQL-backed workflows, and cloud deployment.
Key features
- Reusable Vue 3 components
- Responsive user interface
- Strapi CMS integration
- REST API communication
- Database-backed contact workflow
- CORS and environment configuration
- Production deployment and troubleshooting
Technology stack
Vue 3 Vite Strapi PostgreSQL REST API Render
Add frontend and backend repository links here.
A supervised machine-learning project for predicting cardiovascular disease risk using clinical and health-related indicators.
Key features
- Data cleaning and preprocessing
- Feature engineering
- Model comparison
- Hyperparameter tuning
- Evaluation and accuracy analysis
- Approximately 87% predictive accuracy
Technology stack
Python Pandas NumPy Scikit-learn TensorFlow
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A data analysis and machine-learning project designed to identify operational factors related to flight delays and produce predictive insights.
Key features
- Aviation dataset preparation
- SQL-based data analysis
- Predictive modelling
- Feature evaluation
- Power BI reporting
- Approximately 82% validation accuracy
Technology stack
Python SQL Pandas Power BI Machine Learning
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| Domain | Focus |
|---|---|
| Full-Stack Development | Responsive interfaces, reusable components, REST APIs, authentication, backend integration, and deployment |
| Frontend Engineering | React, Next.js, Vue.js, Vite, Tailwind CSS, JavaScript, TypeScript, HTML, and CSS |
| Backend Engineering | Node.js, FastAPI, Strapi, Python, REST APIs, validation, and business logic |
| Databases | PostgreSQL, MySQL, MongoDB, SQLite, schema design, and database integration |
| Business Systems | Approval workflows, role-based access, audit logs, financial validation, and process automation |
| Data Engineering | Python, SQL, Pandas, NumPy, cleansing, preprocessing, automation, and reporting |
| Machine Learning | Scikit-learn, TensorFlow, predictive modelling, feature engineering, evaluation, and computer vision |
| DevOps and Deployment | Git, GitHub, Docker, Render, Vercel, environment variables, and production troubleshooting |
June 2025 to February 2026
- Developed responsive, mobile-friendly web applications
- Integrated REST APIs and backend services
- Supported environment configuration and deployment
- Diagnosed frontend, backend, and production issues
- Used Git-based workflows for structured development
January 2026 to March 2026
- Developed a responsive Vue 3 and Vite frontend
- Created reusable interface components
- Integrated the Strapi REST API
- Implemented a PostgreSQL-backed contact workflow
- Configured CORS and production environment variables
- Deployed and maintained frontend and backend services
March 2024 to April 2025
- Automated recurring data-processing and reporting workflows
- Reduced manual reporting effort by approximately 30%
- Performed data cleansing and preprocessing
- Created analytical and operational reports
- Worked with Python, SQL, Excel, Pandas, NumPy, and Power BI
BRAC University
Mastermind English Medium School
Mastermind English Medium School
- Generative AI Fundamentals, IBM
- Machine Learning with Python, IBM
- SQL for Data Science, University of California, Davis
- Full-Stack Web Development, Programming Hero
