Raiyen Zayed Rakin

Hi, I'm Rakin

An aspiring computer science and engineering professional with a passion for technology, problem-solving, and continuous learning, seeking to apply my skills in innovative software development and AI-driven solutions. Currently doing my undergrad at the Faculty of Science & Technology, American International University-Bangladesh (AIUB), Bangladesh.

Educational Background

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Bachelor of Science in Computer Science and Engineering

American International University-Bangladesh
January 2023-Present

Focused on Deep Learning, AI, and Software Engineering. Ongoing research under faculty supervision.

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Higher Secondary Certificate (HSC)

Dhaka Imperial College
January 2019-December 2021

Graduated with a foundation in Mathematics, Physics, Chemistry and excelling in critical thinking. Developed a deep understanding of theoretical and applied concepts.

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Secondary School Certificate (SSC)

Motijheel Model High School
January 2017-December 2019

Graduated with a strong foundation in Mathematics, Physics, and Computer Science.

Skills

Languages and Tools

HTML

CSS

JavaScript

Tailwind CSS

Bootstarp

C++

C#

Java

Python

MySQL

Jupyter Notebook

MongoDB

ExpressJS

ReactJS

NodeJS

Software and Design

Git

Github

VS Code

PyCharm

Canva

NPM

Projects

🌐 Source Code

Aiub Fitness Zone

A comprehensive fitness management platform tailored for students and faculties of AIUB. The app provides workout plans, health resources and challenges. Designed to promote physical well-being and a healthier lifestyle within the university community.

#java #swing-gui

🌐 Source Code

StudentDash 2.0

A ride-sharing application specifically designed for the student community. It serves users with affordable transportation options, safely share ride with other students all within their community and tracks everything effortlessly.

#csharp #winforms #sql

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AIUB CGPA Calculator

A responsive web-based CGPA calculator for AIUB students. It allows users to input their grades (A+ to F) and corresponding credit counts to calculate their cumulative GPA., slick and mobile-friendly design to ensure usability on all devices.

#html #css #javascript

Research

Article

Towards Safer Cities: AI-Powered Infrastructure Fault Detection Using YOLOv11.

Timely detection of infrastructure failures requires an effective solution. A YOLOv11-based deep learning model has been proposed which analyzes infrastruc-ture and detects faults in civil architecture. The focus of this study is on an im-age-based approach to infrastructure assessment, which is an alternative to manual visual inspections. Despite not explicitly modeling infrastructure deterioration, the proposed method is designed to automate defect identification based on visual cues.

Article

Combination of Bangla and English Sign Language Detection Model Using YOLOv11.

The purpose of this research is to create a detection system that incorporates Bangla and English sign languages to enhance the flow of communication for those who use these forms of sign language. The research approach uses a YOLOv11 object detection architecture that has been trained and can recognize both BdSL (Bangla Sign Language) and ASL (American Sign Language) alphabets concurrently in real-time.