A bit about the person behind the systems.

I am a Computer Science student at IPB University with interests at the intersection of cybersecurity, machine learning, and trustworthy artificial intelligence.

My academic journey began through security, privacy, and digital infrastructure, which gradually led me toward broader questions about how intelligent systems behave under uncertainty and changing environments. Rather than focusing solely on model performance, I am increasingly interested in robustness, distribution shift, interpretability, and the long-term reliability of machine learning systems when deployed beyond controlled experimental settings.

Alongside these interests, I have actively participated in 28 Capture The Flag competitions through Cyber Security IPB, including 12 international and 16 national events, where I developed practical experience in web security, cryptography, reverse engineering, digital forensics, and secure system thinking.

On the machine learning side, I have worked on projects involving solar power forecasting using transformer-based architectures, renewable energy monitoring platforms, computer vision systems, and reproductions of interpretability research such as Sparse Autoencoders. Through these projects, I became increasingly interested in understanding not only what AI systems can predict, but also why they behave the way they do and how they can remain dependable under real-world constraints.