Hey, I'm Kamrul Hasan

Building Secure &
Scalable Web Systems

Full Stack Developer & Cybersecurity Specialist focused on building secure, scalable, and user-centric applications.

More About Me
Kamrul Hasan

8+

Projects Built with

ReactNext.jsPythonDjangoPHPLaravelDockerGitHubKotlinJavaScript

4+

Years Experience

BangladeshBangladesh
Japan Bangladesh

My Journey

Bridging the gap between
Code & Security

I am a Full-Stack Developer currently advancing my expertise in Cybersecurity in California. My background in Bangladesh and Japan has taught me the importance of precision, scalable architecture, and user-centric design.

I dont just build websites; I engineer secure digital environments that protect users while providing a seamless experience.

My Education

Daffodil International University

Dhaka, Bangladesh
Dhaka, Bangladesh
2015 – 2019

BSc in Software EngineeringCompleted my BSc in Software Engineering at one of Bangladesh's leading private universities. The program covered key areas such as software development, database management, and project management, emphasizing problem-solving and technical innovation.

California State University, Dominguez Hills

Los Angeles, California, USA
Los Angeles, California, USA
2025 – 2027

Cybersecurity Specialist ProgramCurrently pursuing advanced studies in Cybersecurity. This program equips me with in-depth knowledge of network security, ethical hacking, risk management, and digital forensics, preparing me to secure complex digital infrastructures.

Research Papers

PublishedSOURCE

Machine Learning Approaches to Real-Time Risk Assessment in Cloud Computing: An Intelligent Framework for Proactive Threat Detection

European Journal of Applied Science, Engineering and Technology

July 2024

Developed an integrated ML platform for real-time cloud risk assessment using XGBoost (98.6% accuracy) and Random Forest for proactive threat detection.

PublishedSOURCE

A Multi-Platform Framework for Islamophobia Detection on Indian Twitter and Instagram Using ML and Transformer-Based Deep Learning Models

IEEE Xplore (Conference Paper)

April 2026

Built a cross-platform hate speech detection framework using 7,000 Indian tweets and 1,000 Instagram posts. Benchmarked SVM, Logistic Regression, Random Forest, Naïve Bayes, fine-tuned BERT, and T5 — with SVM achieving the best accuracy of 95.49% (F1: 0.99) for Islamophobic content classification.

Consultancy & Mentorship

Higher Study in the USA

Higher Study in the USA

Consultancy covering university selection, scholarship, and complete F1 Visa documentation.

0+ Videos ON YOUTUBE
View Service Details
Higher Study in Japan

Higher Study in Japan

End-to-end mentorship for Japanese Government University, professor outreach, and scholarships.

0+ Videos ON YOUTUBE
View Service Details
Cybersecurity Teaching

Cybersecurity Teaching

Hands-on online bootcamps covering Pen-testing and Secure Coding.

25+ Tutorials ON YOUTUBE
View Service Details

Lets Connect

Whether you have a question about web systems, cybersecurity, or want to discuss study opportunities in Japan/USA, Im here to help.

Email Me

kamrulhasanan@gmail.com

Location

Los Angeles, CA