
SMS Spam Classifier
A binary text classification system using Natural Language Processing to detect spam messages. Built with Multinomial Naive Bayes on a TF-IDF feature matrix, achieving high accuracy on the UCI SMS Spam Collection dataset.
Exploring cybersecurity through hands-on projects, continuous learning, and a strong foundation in networking, Linux, and software development.
// SLIIT ยท BSc (Hons) IT โ Cybersecurity Specialization
I'm an undergraduate specializing in Cybersecurity at the Sri Lanka Institute of Information Technology (SLIIT). Through university coursework, hands-on labs, and personal projects, I'm building practical skills in networking, Linux, software development, and cybersecurity.
My goal is to grow into a security engineer by continuously learning, solving technical challenges, and creating projects that strengthen both my engineering and security knowledge.
// system_status.log
STATUS: ACTIVE_LEARNER
FIELD: Cybersecurity & Secure Development
BASE: Sri Lanka ๐ฑ๐ฐ
OPEN_TO: Internships & Collaborations
Building a strong technical foundation through practical projects, home labs, and continuous learning while exploring network security, system administration, and software development.
I enjoy understanding how systems work, exploring new technologies, and continuously expanding my cybersecurity knowledge.
I learn best by building projects, experimenting in labs, and applying concepts beyond the classroom.
Every project is an opportunity to improve my technical skills, problem-solving, and understanding of cybersecurity.
I value clean design, thoughtful solutions, and building software that is reliable, maintainable, and practical.
// TOOLS, LANGUAGES & SECURITY CONCEPTS

A binary text classification system using Natural Language Processing to detect spam messages. Built with Multinomial Naive Bayes on a TF-IDF feature matrix, achieving high accuracy on the UCI SMS Spam Collection dataset.

Designed and developed a production-ready portfolio platform using Next.js, featuring secure CV delivery through private Cloudflare R2 storage, protected API endpoints, automated CI/CD, responsive design, interactive animations, and performance optimization.
// Security-focused technical writeups
How I built this portfolio with security actually baked in โ not bolted on afterwards. Private cloud storage, bcrypt auth, rate limiting, and a bunch of headers most people skip.
Open to internships, project collaborations, and security-focused opportunities. I'd love to hear from you.
> INITIATING_SECURE_CONNECTION..._