Tenzin Shakya

I am currently tutoring computer programming, offensive security, and secure application design as a sessional teaching academic, where students gain understanding and support within the units. For example, providing insights into ethical hacking methodology, understanding security best practices, and programming fundamentals.

As part of the drop-in centre team, I provided technical support to undergraduate and postgraduate students, assisting with programming, databases, cybersecurity, web technologies, and any content-related issues. My explanation covers complex concepts from the topics listed and guides students in one-on-one and group sessions. The tenure allowed me to make a difference in the student-supported journey into having a better understanding of the content covered, whether systems programming or computer networking, ultimately fostering learning and academic success within the university community.

The Hounds of Anubis is a CTF team of students interested in Cybersecurity. We cross over categories including Web, Forensics, Reverse Engineering, OSINT, and binary exploitation. The team was co-founded in October 2024 alongside Marlon and myself, and we participate in several CTFs to upskill ourselves.

As a Cybersecurity Consultant at EY, I gained valuable exposure to cybersecurity governance, assisting clients in ensuring their organisational compliance with relevant policies and frameworks. I worked extensively with standards such as ISO, NIST, and other industry frameworks, helping clients align their cybersecurity practices with these requirements. A key focus of my role was deep diving into vulnerability management, identifying and addressing potential risks to strengthen security posture. Additionally, I had the opportunity to explore compliance automation and its role in streamlining security processes. My work also began within Identity and Access Management (IAM), where I contributed to securing client systems and managing user access efficiently.

As a Data Analytics Intern at Optus, I initially focused on data visualisation and analysis, extracting meaningful insights to support decision-making. I then developed a basic machine learning model before transitioning from the Data Science team to the Machine Learning team. In this role, I explored various methods for maintaining ML models, with a strong emphasis on containerisation. Additionally, I gained hands-on experience with Kubernetes (K8s) for model deployment and orchestration, enhancing my understanding of scalable and efficient machine learning infrastructure.