Here are some of my

Recent Projects

“Computers are good at following instructions, but not at reading your mind."
— Donald Knuth.

Web development

Although I am a full stack web developer,backend and server side development is my speciality.During the years I have woked on several projects,some are University related projects and some are of personal interests.


NiceCloud, an ICT/telecom company of Netherlands provide telecom solutions to their clients (office365,Laptops, mobiles etc). NiceHub will handle the communications between the users (sales/tech) and the various external systems (Office365, IRMA, Techdata and Autodesk)


It is basically a motorhome management and care system. The project is built on laravel in the back-end and for front-end we are using flutter.The project is in staging state now. It will have both web and mobile version for Android and IOS


"CHT" - a complain handling tool of GrameenPhone LTD. Basically it is a software to accept, categorize and track customer complaints from initiation through resolution.


"OneGP" - an employee services management system of GrameenPhone LTD.


A human resource management system that has been developed using laravel.The project offers some flexible options like adding custom language by the user, adding gates-policies or role based access of resources to a particular user, in app and mail notification to the user and many more...


Mobile App

A total hospital management app that replaces existing manual paper based system. The system includes doctor, patient, ambulance, hospital, blood banks etc module and offers different functionalities based on their role.

Online Hospital

Rest API

A simple rest api to get data from the server that returns data in JSON format.The project is done using Spark-a simple java micro framework.The code is well documented.So you can have a look to find out more.....

Rest API

Machine Learning

I have done some interesting machine learning projects till date.My expertise is basically on NLP.Analysing sentiments from textual data and classifying texts/comments are some of the many.

The project Play Store review analysis is a sentiment analysis project that was intended to give a developer some sort of idea about their app.Analysing the sentiment of the reviews,the developer can differentiate between the postive and negative reviews and later on can cluster them to find out what people are liking about his/her app and what functionality needs improvement.

In this project,I have used word embeddings namely word2vec as feature extractor.This trained word embeddings is then feed to embedding layer.Later,GRU-an RNN architecture, which is similar to LSTM has been used.You can find the full details on the above link.

Let's work together

Start Your Project

If you are interested

Get In Touch