With over three years of experience as an ICT System Engineer in Distributed System Management, I have cultivated a robust skill set encompassing system support, network management, Entra ID, EUC, Windows servers, and disaster recovery solutions. My passion for cybersecurity has propelled me to independently undertake projects in multicast networking, Python automation, network security, and machine learning. My proficiency extends to troubleshooting, asset control, deploying network infrastructure, and delivering exceptional customer support.
I am keen to transition into a dedicated cybersecurity role, where I can harness my technical acumen and project experience to devise innovative solutions, fortify security measures, and drive operational excellence.
WA Country Health Service
ICT Field Support OfficerBlueScale IT
Junior System EngineerAGOS Networks Pty. Ltd.
IT TechnicianChoices Foods Group
Flow Wrap Machine OperatorPan Pacific Perth
Customer Service SpecialistBachelor of Networking, major in Cybersecurity
Melbourne Institute of TechnologyDiploma & Advanced Diploma of IT
Australia Institute of Business and TechnologyISC2
LL
Skillsoft
Ongoing
Hydra
Skillsoft
Microsoft
Snort based Network Security Audit Tool
Independent ProjectDeveloped a Python-based vulnerability scanning tool utilizing Snort, deployed on a Raspberry Pi, to automate the detection of open ports and network threats, significantly enhancing monitoring efficiency.
Live Face Detection using OpenCV and Python
Independent ProjectA real-time Face Detection application using Python and OpenCV with Haar Cascades. The tool accurately detected faces via webcam, even in low-resolution images, featuring a modular design for scalability. Future enhancements included plans for age, gender, and mood detection, as well as DSLR camera integration for improved image quality.
ML integrated NNFX Trading Bot
Independent ProjectDeveloped a custom Forex trading bot using the OANDA API to automate trading strategies and enhance decision-making in the forex market. The bot leverages the NNFX algorithmic system and real-time market data to analyze trends and execute precise trades. Built with Python, it processes large datasets and applies algorithmic logic for swift, data-driven decisions. The bot was containerized and deployed on the cloud for scalability and efficiency, with modern DevOps tools integrated for seamless deployment and management.
Live Streaming Web Application
Hydra AustraliaA live streaming web application for Hydra Australia using HTML5, CSS3, Node.js, and Socket.IO to enable real-time communication. This project was completed during the final year of my undergraduate degree as part of an industry-based project for a client. The UI was designed with a codeless approach using Bubble.io for streamlined development and customization.
Lotto Scraper | ML based Results Analysis
Independent ProjectDeveloped a Python-based Lotto Scraper tool to fetch and store lottery results data from Saturday Lotto API into CSV for analysis. Leveraged this data in a machine learning project where I applied Linear Regression and Random Forest algorithms to predict future lottery outcomes. Key features of the Lotto Scraper include efficient handling of date ranges, API error management, and rate-limiting. The machine learning pipeline involved data preprocessing, model training, and performance evaluation to compare prediction models.