// PROFILE 001

Nur HakimiAlif Khamis

Final-Year Information Technology Student

I build practical systems across cybersecurity, networking, cloud computing, web development, and intelligent threat detection.

Open to internship opportunities and project collaborations

Based in: Bangi, Selangor
Current: Bachelor of Information Technology
Background: Network Security
Focus: CybersecurityCloudNetwork InfrastructureDevelopment

// ROLE FOCUS

Three directions, one practical foundation.

Final-year Information Technology student with a Diploma in Engineering Technology specialising in Network Security. Experienced in building cybersecurity monitoring systems, network-level threat prevention tools, web applications, Android applications, and machine-learning prototypes. Also experienced in enterprise network infrastructure deployment, technical troubleshooting, customer operations, and inventory coordination. Interested in cybersecurity, cloud engineering, network engineering, IT infrastructure, and software development opportunities.

Cybersecurity Developer
Network Security Graduate
Cloud and Infrastructure Learner
Web Application Developer

Building practical tools for threat detection, risk analysis, monitoring, and automated security response.

PintarZD
DNS Sinkhole
Snort
T-Pot
Kali Linux
EC-Council

// HOW I WORK

I connect systems, security and people.

My background combines technical development, network infrastructure, security analysis, customer operations, and practical problem-solving.

Observe

I study how users, devices, systems, and data behave before proposing a solution.

Build

I turn technical requirements into practical applications, dashboards, monitoring tools, and workflows.

Test

I validate behaviour through troubleshooting, simulation, security testing, and structured evaluation.

Improve

I refine performance, usability, security controls, and operational processes based on evidence.

// SELECTED WORK

Selected Systems

Security tools, intelligent applications and practical technical experiments.

01Cybersecurity / Final-Year Project

PintarZD

A centralised USB security platform designed to monitor device activity, analyse suspicious sessions, calculate risk, issue alerts, and support mitigation decisions.

Python
Flask
MySQL
LSTM Autoencoder
JavaScript
Telegram Integration

Three before-and-after browser tests showing advertisements removed after DNS filtering — DNS verdict console / 02Prototype flow

02Network Security / DNS Sinkhole

DNS Malvertising Prevention System

A diploma team project that used Pi-hole on a Raspberry Pi as a network-level DNS sinkhole for configured advertising and suspicious-domain lists.

Raspberry Pi 4
Pi-hole
DNS Sinkhole
PHP
MySQL
HTML

03Android / Sustainability

SaveBite

A Kotlin Android prototype that helps users track food expiry, plan purchases, scan barcodes, and locate food-bank donation points.

Kotlin
Jetpack Compose
Room
CameraX
ML Kit Barcode
Google Maps

Research dossier / 04Paper-led evidence

95.69%

Mean five-fold validation accuracy

Reported in the paper

Research paperPDF / 07 PAGES

Classifying Vehicle Types using VGG16

PDF / primary artifact

Reported classification accuracy: 97%; Up to · prepared research dataset
Labelled vehicle images: 5K+; Approximate documented scale
Vehicle categories: 7; Multi-class output

Model route

01Labelled dataset
02Preprocess + augment
03VGG16 transfer learning
04Seven-class evaluation

Class setAuto-rickshaw · Bike · Car · Motorcycle · Plane · Ship · Train

Vehicle Classification with VGG16

A paper-led VGG16 transfer-learning study classifying seven vehicle categories from more than 5,000 labelled images.

Python
TensorFlow
Keras
VGG16

Intrusion Detection and Honeypot Simulation

An attack-and-defence laboratory environment using Kali Linux, Nmap, T-Pot, and Snort to simulate network reconnaissance, detect suspicious activity, document events, and study incident response.

Kali Linux
Nmap
T-Pot
Snort

// FIELD RECORD

Experience in the Field

A field record spanning customer operations, inventory coordination, and enterprise network-infrastructure deployment.

02 active records

Field record

Lumut, Perak

21 Grilled Seri Manjung

Assignment: All-Rounder F&B Crew
Period: June 2023 – August 2024
Working mode: Full-time, On-site

Worked across customer service, cashiering, barista and beverage preparation, online-order coordination, inventory management, procurement, and daily store operations.

50–100+customers served daily

Recorded impact

01Served approximately 50–100+ customers daily
02Supported approximately RM2,000–RM3,000 in daily sales
03Managed StoreHub POS, Foodpanda, and Grab Merchant orders
04Developed practical coffee and iced-beverage preparation skills through barista training
05Coordinated dine-in and online orders during peak periods
06Managed inventory using Excel and the FIFO method
07Independently supported weekly raw-material procurement
08Contributed to approximately RM3,000 in monthly cost savings
09Improved stock availability through structured inventory handling