I spent the last +8 years bringing digital products to life for leading companies in the banking and insurance industries. Along the way, I discovered that my greatest skill was to bridge business strategy with technical execution: a ‘translator’ between both grounds.

Through that experience, I learned how technology can solve real user problems while driving meaningful business outcomes. But I found myself wanting to go deeper.

As AI and agent-powered products began to emerge, my desire was to understand and create real, scalable systems rather than just ‘vibe code’ them. Today, as a Master of Computer Science candidate at the University of Sydney, my goal is just not to learn how to build faster, but to think deeper about what I’m building and why.

I consider myself a self-learner. From Python to Agent workflows, I’ve always enjoyed learning new concepts and apply them to projects in real life. My current specialization is in Data Science & AI.