Hello, I'm

Minhaj Uddin Hassan

A Software Developer and Researcher

View My WorkDownload CV
Minhaj Uddin Hassan, software developer and researcher

A simple man with a curious mind

< About Me />

I'm a Computer Science & Engineering student at Premier University, Chattogram, currently working as a Software Development Trainee at Premier University.

I enjoy turning ideas into reliable systems, exploring new innovations and developing practical technology that can make a meaningful impact on society.

The academic timeline

< Education />
2021 — 2026
Premier University logo

BSc in Computer Science & Engineering

Premier University, Chattogram, Bangladesh

Undergraduate
2017 — 20192015 — 2017
Baitush Sharf Ideal Kamil Madrasah logo

Higher Secondary Certificate

Secondary School Certificate

Baitush Sharf Ideal Kamil (M.A) Madrasah

Where innovation meets passion

< Research & Publications />
90 Citations
Conference Paper · 2025 International Conference on Quantum Photonics, Artificial Intelligence, and Networking (QPAIN)

Bangladesh Premier League T20 Cricket Match Outcome Prediction Using an Ensemble Learning Approach

A machine learning–based study for predicting Bangladesh Premier League (BPL) T20 match outcomes using historical data, feature engineering, and ensemble learning models.

  • Developed predictive models for cricket match outcomes
  • Compared advanced ensemble learning techniques
  • Performed ablation studies on model components
  • Built a real-time prediction framework
Sports AnalyticsEnsemble LearningPrediction
Read Paper ↗
See More Publication

Professional engineering life

< Experience />
November 2025 - November 2026
Premier University logo

Software Development Trainee

Premier University · Chattogram, Bangladesh

Developing and maintaining university software, improving existing systems, and designing architectures for new solutions using ASP.NET and Node.js.

ASP.NETNode.JsAPISystem Design
May 2024 - October 2025
Insights Automata logo

Research & Development Engineer

Insights Automata · Chattogram, Bangladesh

Building industry-grade IoT systems with real-time data communication, while researching and developing new devices and software.

ESP32Arduino IDEWeb-SocketPHP

My toolbox

< Skills & Technologies />

Frontend

Next.js logoNext.js
React logoReact
JavaScript logoJavaScript
CSS3 logoCSS3
Tailwind CSS logoTailwind CSS
Bootstrap logoBootstrap
HTML5 logoHTML5

Backend & APIs

Laravel logoLaravel
PHP logoPHP
Node.js logoNode.js
Express.js logoExpress.js
TypeScript logoTypeScript
Java logoJava
C++ logoC++
.NET logo.NET

Databases

MySQL logoMySQL
PostgreSQL logoPostgreSQL
MongoDB logoMongoDB
Firebase logoFirebase

ML & Research

Python logoPython
scikit-learn logoscikit-learn
Pandas logoPandas
NumPy logoNumPy
Jupyter logoJupyter

DevOps & Server

Ubuntu logoUbuntu
Linux logoLinux
Nginx logoNginx
Apache logoApache
Git logoGit

Tools

VS Code logoVS Code
Postman logoPostman
Visual Studio logoVisual Studio
Arduino IDE logoArduino IDE

My amazing works

< Projects />

Sense Your Device

Sense Your Device (SyD) is a Bangladesh-built IoT platform developed with a Next.js frontend, Laravel backend, MySQL database, REST APIs & WebSocket-based real-time communication. The system is designed with a separated frontend, backend, API, real-time communication & database architecture for scalable IoT monitoring.

Key features

  • Create and manage custom IoT devices
  • Auto-generated API endpoint for each device
  • Send sensor data through an Open API
  • Real-time data monitoring using WebSockets
  • Live sensor data visualization with graphs
  • Historical data storage & visualization
  • MySQL-based time-series data storage

Built with

Next.jsLaravelMySQLWebSocketREST API
Live Demo ↗

MOSSIM

MOSSIM is a full-stack e-commerce platform developed with a modern frontend, backend, database, and REST API architecture. The system integrates the customer-facing storefront with a comprehensive management platform, with MySQL handling the data layer and Laravel powering the backend and APIs. The complete system is deployed and managed on a VPS for production use.

Key features

  • E-commerce storefront & product management
  • Inventory, stock & purchase management with RBAC
  • POS & local sales management
  • Orders, shipments & returns / refunds
  • Payments, coupons & customer management
  • SEO & Open Graph metadata
  • Automated email & PDF generation
  • Business reports & dashboard analytics

Built with

LaravelNext.jsOpenGraphMySQLREST APIVPS
Live Demo ↗

ID Card Detection System

The system uses a custom-labeled dataset prepared with Roboflow and trains a YOLOv8m object detection model using Python, PyTorch and the Ultralytics framework. It is designed to support identity verification, institutional identification, attendance monitoring and security applications. The trained model achieved 0.995 precision, 0.923 recall and 0.925 mAP@50, with an inference time of approximately 40.9 ms per image.

Key features

  • Real-time ID card detection from images & video
  • Custom ID card dataset annotation with Roboflow
  • Institution identification from detected ID cards
  • Bounding-box detection with confidence scores
  • Automated identity verification workflow
  • Support for attendance & access-control applications

Built with

YOLOv8PythonPyTorchRoboflowComputer VisionDeep Learning
See More Projects

Giving back to the community

< Giving Back />

Leadership, training and mentoring through one university community.

Premier University Robotics Club

Premier University Robotics Club logo
Training Secretary 2023 — 2024General Secretary 2024 — 2025

Led the Premier University Robotics Club from 2023 to 2025 as Training Secretary and General Secretary, overseeing club operations, member training, mentoring, and team coordination while organizing robotics events, seminars, technical classes, workshops, competitions, and hands-on programs to strengthen practical learning and grow the university’s robotics community.

See More Activity

Let's build something great

< Contact />

Have a role, a project or a research idea? Reach me by email — or ask Miko, my AI assistant, anything in the corner.

Mdhassan49.muh@gmail.comminhaj@it.puc.ac.bd