Innovative Computer Science PhD student researching on agentic AI implementation and the application of security principles to support safe and well-informed decisions in implementing real-world agentic AI systems. I am passionate about understanding the internal workings of AI/ML models and how cybersecurity principles can be effectively applied to ensure safety and efficiency in diverse real-world deployments. 

I love communicating technical STEM concepts, responsibly leading teams, delivering engaging presentations and supporting diverse STEM education initiatives. 

My relevant technical skills include Python, TensorFlow, PyTorch, Scikit-Learn, C++, C#, ReactJS, VueJS, Ruby, prompt engineering and design, ML model design and deployment, network traffic analysis, malware analysis, and AWS cloud security. 

Open to casual, industry and research opportunities where I can utilise my in-depth technical knowledge, interdisciplinary research experience, and a collaborative approach to explore and contribute to projects in artificial intelligence and cybersecurity.