SOFTWARE DEVELOPER · BANGLADESH

Building reliable software for real-world problems.

I work across Java development, API integration, banking technology, and applied machine learning. I enjoy understanding complex systems and turning them into dependable solutions.

JavaBackend development
APIsIntegration & services
ML / NLPResearch experience
developer.java
public class Developer {
  private String focus =
    "building useful things";

  public void create() {
    learn();
    build();
    improve();
  }
}
☕ Java
⌘ APIs
✳ ML / NLP

01 / ABOUT

Curious by nature.
Engineer by practice.

I’m a software developer interested in backend engineering, enterprise systems, and the details that make software dependable in production.

My work and learning span Java, REST APIs, Temenos banking technology, databases, and deployment environments. I also enjoy research that applies natural language processing to meaningful problems in Bangla.

This is a personal portfolio starter. Update the contact details and review the content so it accurately represents you before publishing.

02 / TOOLKIT

Tools I work with

A practical mix of backend, integration, data, and platform technologies.

⌘

Backend

Java · Spring Boot · Core Java · REST APIs

⇄

Enterprise integration

Temenos T24 · IRIS API · Apache Camel

▤

Data & databases

Oracle · PostgreSQL · SQL · Pandas

⌁

Platforms & tools

Linux · Unix · Docker · Git · WebSphere

✳

Machine learning

Scikit-learn · NLP · Transformers · Python

◇

Currently learning

Spring Boot patterns · Kubernetes · cloud-native workflows

03 / SELECTED WORK

Projects & interests

Areas where I build, investigate, and keep learning.

PROJECT / 02
▧

Note-sharing REST API

A learning project exploring Spring Boot layers, request handling, entities, repositories, and CRUD-style API design.

Spring BootJPAREST
PROJECT / 03
✳

Bangla cyberbullying detection

Research exploring machine-learning and transformer-based approaches to identify cyberbullying in Bangla text.

NLPMLBangla

04 / RESEARCH

Language technology with purpose.

My undergraduate research focused on cyberbullying detection in Bangla using traditional machine-learning methods and transformer models, including Bangla-BERT and DistilBERT.

The work was published as a Springer book chapter in August 2026. Add the verified publication link here before publishing.

RESEARCHNLPBangla text · ML · Deep learning

05 / CONTACT

Have an interesting problem?
Let’s connect.

I’m always interested in thoughtful conversations about software engineering, APIs, and technology.

Before publishing, replace hello@example.com and the generic profile links with your real links.