Summary
Ezi Ozoani is a Dublin-based ML and ethics researcher with nine years of experience bridging applied machine learning, quantum research, and human-rights-focused AI. Currently directing ethical compliance and onboarding at Women in AI while researching for NATO Veterans Initiative and contributing as an ML & Ethics Research Engineer at Hugging Face, she blends policy-minded leadership with hands-on engineering. Her MSc work at Trinity built modular quantum-enhanced classifiers and Grover implementations, evaluated on Qiskit against classical baselines, reflecting a rare cross-disciplinary fluency in quantum and classical ML. Past projects include building NLP-driven legal “vaults” and computer vision tools to document abuse for legal use, demonstrating a pragmatic focus on socially impactful systems. Comfortable shipping prototypes to production, she pairs product delivery experience with research rigor and a knack for making emerging tech accessible to nontechnical stakeholders. Colleagues know her as “Ezzy,” a meticulous researcher who thrives at the intersection of ethics, ML, and quantum exploration.
9 years of coding experience
2 years of employment as a software developer
MSc Computer Science, MSc Computer Science at Trinity College Dublin