BSc in Computer Science & Engineering
Undergraduate


Two sides of the same craft — building systems people rely on, and studying the science that makes them smarter.
End-to-end web apps with Laravel & Next.js — REST APIs, multi-role auth, payment & SMS integrations, ERP, LMS and e-commerce systems.
Published research in ensemble learning for sports analytics and IEEE-compliant privacy protection for IoT — from datasets to deployment.
Self-managed Ubuntu VPS with Nginx, HestiaCP, SSL and Git-based deploys — I run the infrastructure my apps live on.
I enjoy transforming ideas into reliable, scalable and user-friendly web applications — and backing engineering decisions with real research.
I'm a Computer Science & Engineering student at Premier University, Chattogram, currently working as a Software Development Trainee at Premier University. My specialty is Laravel on the backend and Next.js on the frontend: authentication systems, payment gateways, real-time apps and enterprise platforms like ERPs and LMSs.
On the research side, I work on machine learning and IoT security — my papers cover ensemble-learning prediction for T20 cricket and automated MAC-address randomization for IoT privacy. I also manage my own Linux servers, from Nginx configs to SSL and Git-based deployment.
Beyond code, I served the Premier University Robotics Club as Training Secretary and General Secretary, supporting training, leadership and club activities.
From a board-standing SSC result to a CSE degree — shaped by research, leadership and hands-on engineering.
Undergraduate

GPA 4.69 — Science group.

GPA 5.00 — a perfect score.
🏅 Board Stand
Peer-reviewed conference papers in machine learning and IoT security — research I designed, built and published as an undergraduate.
Investigates machine-learning techniques for predicting the outcomes of Bangladesh Premier League (BPL) T20 cricket matches. The study compares multiple ensemble learning algorithms on historical match datasets to identify the most accurate prediction model.
Proposes an automated MAC-address randomization framework that protects user privacy in Internet-of-Things environments. The solution complies with IEEE standards while remaining lightweight enough for resource-constrained IoT devices.
Hands-on experience learning, building, testing and contributing to real software environments.


The technologies I reach for — hover a logo to see it light up.
Click any project to open its full story — features, stack and links.
Leadership, training and mentoring through one university community.

Supported member training, mentoring, club operations and executive leadership while helping the robotics community grow through practical learning and collaborative activities.
Have a role, a project or a research idea? Reach me by email — or ask Miko, my AI assistant, anything in the corner. 👉