Abubakar Aziz

Hi there! I’m a final-year PhD candidate in Computer Science at Northeastern University, where I build scalable systems and tools to tackle challenges in AI, web privacy, and security.

My research focuses on developing scalable tools to investigate privacy and security issues, including building data pipelines with Apache Spark to process terabytes of web data and perform large-scale analyses of how consent signals move across the internet. I study how organizations comply with (or fail to comply with) privacy regulations such as the California Consumer Privacy Act (CCPA) and explore how AI agents can make privacy governance more transparent, accountable, and automated.

I have published my work in top-tier venues such as PETS and AAAI ICWSM, and I care deeply about open science. Most of my research code and datasets are openly available on GitHub.

More than anything, nothing fascinates me more than building things from the ground up and learning deeply about how they work. Whether it is designing data pipelines, creating new tools, or exploring emerging AI technologies, I love turning ideas into real, impactful systems.

Right now, I am excited about the next chapter. I am actively seeking postdoctoral opportunities as well as industry roles including research scientist, software engineering, and AI/ML engineering positions, where I can continue building meaningful technologies that make a difference.