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Aspiring Software Engineer · Full-Stack Developer

Hridoy Saha Full-Stack Developer

Computer Science and Engineering graduate focused on building meaningful, user-centered software solutions. Passionate about problem-solving, continuous learning, and growing as a skilled software engineer.

Portrait of Hridoy Saha HS
Available for work
Name Hridoy Saha
role Full-Stack Developer
based in Dhaka, Bangladesh

About Me

The developer behind
the solutions.

Hridoy Saha

I am a Computer Science and Engineering undergraduate passionate about problem-solving, full-stack development, and building meaningful software solutions. I enjoy turning real-world requirements into clean, practical, and user-focused applications.

My approach focuses on understanding the problem first, designing reliable solutions, and writing code that is maintainable and easy to evolve. From frontend interfaces and REST APIs to databases, authentication, and business logic, I enjoy working across the complete development process.

Projects

Explore a selection of projects where I applied full-stack development, database design, authentication, API integration, and real-world business logic to build practical, scalable, and user-focused software solutions.

Live preview of Book Trading Club
02 Live View live
Team Project Web Application

Book Trading Club

A community platform for buying, selling, and exchanging books with authentication, search, trade requests, chat, and an AI assistant.

AI Assistant Book Trading Real-time Chat
React.js TypeScript MongoDB
Desktop Application Business System

Super Shop Management System

A desktop retail management system designed to streamline product management, sales processing, payments, users, and business operations.

Admin + Salesman RBAC Sales Management Dashboard
C# SQL Server SSMS
Live preview of Book Trading Club
04 Live View live
Full-Stack Web Application

Mini Kanban Board

A collaborative task management application for creating boards, organizing tasks, sharing boards, and moving work across columns.

JWT Auth RBAC Drag & Drop Board Sharing
Next.js NestJS TypeScript PostgreSQL TypeORM
Building Apartment Management System GitHub project preview
05 Live View Live
Web Application Management System

Building Apartment Management System

A web-based apartment management system for handling apartments, tenants, payments, and users with dynamic data updates.

RBAC Payment Processing AJAX Sessions
PHP MySQL AJAX
Ticket-Management-System GitHub project preview
</> Ticket Management
06 GitHub View repository
Desktop Application OOP

Ticket Management System

A desktop ticket management application for creating, managing, and tracking support tickets using object-oriented programming.

GUI OOP Ticket Tracking
Java OOP GUI

Skills

My technical
toolkit.

Technologies I use to design, develop, test, and deploy modern software applications.

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FULL
STACK
DEVELOPER
React.js
Next.js
TypeScript
NestJS
Node.js
PostgreSQL
MongoDB
JavaScript
Python
C#
ASP.NET
REST API
Supabase
MySQL
Java
PHP

Education

Academic background.

  • 2022 — 2026
    Undergraduate

    B.Sc. in Computer Science & Engineering

    American International University-Bangladesh (AIUB)

    Expected graduation: October 2026 · CGPA: 3.62/4.00

  • 2021
    Higher Secondary

    Higher Secondary Certificate (HSC)

    Narilkel Baria Degree College, Jashore

    Science · 4.83/5.00

  • 2019
    Secondary

    Secondary School Certificate (SSC)

    Shalikha Thana Pilot High School, Magura

    Science · 4.39/5.00

Certification

Learning that builds.

2025

Complete Web Development Course

Programming Hero

2023

IT Essentials: PC Hardware and Software

Cisco Networking Academy

Publication

Research in progress.

01
2026 Ongoing

Deep Learning Based Skin Disease Detection Using Ultralytics YOLO26n

A comparative study of deep learning object detection models for automated skin disease detection, focusing on detection performance and computational efficiency for real-time and resource-constrained deployment.

Authors Hridoy Saha · Md. Tanvir Hasib Fahim · Tafsir Rahman · Sanjida Affrin Bristi
YOLO26n Deep Learning Skin Disease Detection Computer Vision
↗
02
Research Paper Ongoing

Software Defect Prediction Using Static Code Metrics: A Pair-Aware and Explainable Machine Learning Approach

A pair-aware and leakage-safe machine learning framework for software defect prediction using static source-code metrics. The study evaluates multiple classifiers on the GHPR dataset and incorporates SHAP and LIME for model explainability.

Authors Ayon Kumar Bhowmick Ovi · Tafsir Rahaman · Hridoy Saha · Most. Shumaya Jahan · Samia Jannat Liza · Md. Abdullah Al Mahmud
Machine Learning Software Defect Prediction GHPR SHAP LIME XAI
↗

By the numbers

A small snapshot of
my work.

A few measurable highlights from my current academic and software development work.

01
10 Projects Software & web applications
02
5 Core skill areas Frontend · Backend · Database
03
2 Research paper Machine learning & deep learning
04
2 Certification Professional learning

How I think

The mindset behind the code.

developer.ts

Contact

Have an idea? Let's build it.

Interested in working together, discussing a software project, internship opportunity, or collaboration? Feel free to reach out.