I'm a Product Management leader and independent AI researcher with over 15 years of experience at the intersection of enterprise SaaS, data platforms, and artificial intelligence. My career spans building and scaling zero-to-one products, driving them from concept to product-market fit and multi-million-dollar ARR across global markets in regulated industries such as legal tech and financial services.

My research centers on responsible AI and governance. I authored BEATS: Bias Evaluation and Assessment Test Suite for LLMs (arXiv), a benchmark for evaluating fairness and structural bias in foundation models, and contributed to the MIT Science Policy Review with a systems-level framework for data and AI governance.

As a full-stack product builder, I bridge strategy and execution—designing and prototyping user experiences, architecting data platforms and APIs, and training and deploying ML and GenAI models. This hands-on approach allows me to transform abstract concepts into scalable, production-grade products that deliver measurable business impact.