IT student at Multimedia University Malaysia. I design and build intelligent systems — from explainable cancer classification models to cloud-hosted web applications.
I'm Maab Dafaalla, a Bachelor of Information Technology (Information Systems) student at Multimedia University Malaysia, graduating in 2026 with a CGPA of 3.55.
My work sits at the intersection of AI, cloud infrastructure, and data. I've built a production-grade explainable AI system for cancer subtype classification, designed enterprise network architectures, and published research at an international conference.
What drives me is the ability to translate complex technical findings into clear business value — bridging the gap between engineering and strategy. That's the kind of thinking I want to bring to technology consulting.
I'm actively pursuing my AWS Cloud Practitioner certification and seeking internship opportunities in digital, cloud, and advisory roles.
Explainable AI platform for Triple-Negative Breast Cancer molecular subtype classification. Achieves 91.51% accuracy using XGBoost with 150 genomic features and SHAP explainability for patient-facing risk assessments. Full-stack Flask web app with role-based access for patients, clinicians, and admins — deployed live.
Designed and configured a multi-router enterprise network in Cisco Packet Tracer — VLANs across 6 departments, OSPF routing, DHCP/DNS services, STP loop prevention, SSH-secured remote access, and centralised syslog monitoring.
Provisioned a Rocky Linux server for 50 users across 5 departments. Implemented SELinux enforcing mode, SSH key authentication, firewalld rate-limiting, Apache web hosting, NFS file sharing with ACL policies, and real-time system monitoring.
Power BI dashboard translating complex datasets into actionable business insights — KPI tracking, trend analysis, and executive reporting with DAX-driven calculations designed for decision-makers.
First-authored a systematic review accepted at CITIC 2026 international conference. Synthesised literature across multiple sources to identify patterns, gaps, and future directions in AI applied to healthcare.
Want the full picture? Download my CV for a complete overview of my education, projects, certifications, and coursework.
Download CVI'm actively looking for technology consulting, cloud, or AI internship opportunities. Whether you have a role in mind or just want to connect — I'd love to hear from you.