Designing frameworks that measure AI performance not only for accuracy, but for safety, fairness, privacy, and compliance.
Turning research into practice across NLP, LLMs, and multimodal models — building systems that solve real business and user problems.
Leading data science and engineering teams, and bridging technical and non-technical stakeholders to deliver trustworthy AI.