I’m a Graduate Software Engineer with a strong focus on IoT systems, embedded development, cloud computing, and AI integration. I hold a Bachelor of Software Engineering (Honours) from Deakin University, where I specialised in Artificial Intelligence and developed a thesis on long-term forest monitoring using energy-aware IoT nodes optimising LoRa parameters, adaptive deep-sleep logic, and capacitor-based power systems for sustainable deployments.

As a .NET and Azure Developer Intern at VDOIT Technologies, I designed and deployed scalable cloud-based backend systems. I built RESTful APIs in ASP.NET Core, automated delivery using Azure DevOps CI/CD pipelines, and optimized database performance with Azure SQL. Collaborating with front-end teams, I integrated cloud APIs with Angular and React clients, gaining full-stack exposure and experience in agile DevOps workflows.

At Deakin’s Robotics & IoT Lab, I worked on ROS-based robotic control and object detection with Kinova robotic arms and Intel RealSense cameras, integrating computer vision pipelines for autonomous manipulation tasks. My time at Redback Operations further strengthened my skills in IoT prototyping, wearable technology, and player-tracking systems, while the SummerTech Program allowed me to contribute to Shopify/SEO-based web optimisation for live client projects.

I’m passionate about designing and building scalable, intelligent, and connected systems, whether in IoT, AI, or cloud domains. I’m now seeking graduate opportunities in software engineering, embedded development, or AI-integrated solutions, where I can apply my technical foundation, expand my skill set, and deliver impactful, production-ready software.