With a focus on ethical AI and data security, I bring a unique blend of academic research, startup innovation, and real-world application to the field of Graph Data Science.

As the founder of Patrun and a Developer Advocate at Neo4j, I lead initiatives that leverage graph technologies to address pressing challenges, such as the transparency of human contributions to AI models, ensuring accountability and ethical data practices. My academic background includes research with Stanford University's Human-Computer Interaction Crowd Research Collective, contributing to advancements in human-centered AI.

I've shared my expertise at major conferences, including PyCon US, PyCon India, ODSC, NDC Oslo, The AI Conference, and the AI Risk Summit, where my focus on graph-driven insights and responsible AI has been recognized across the industry.

As an active member of the AI Alliance, I advocate for responsible AI practices on a global scale. In 2023, I was honored to be named one of the Top 100 Innovators & Entrepreneurs by Top 100 Magazine.

Let's connect via Linkedin or follow me on the GraphStuff.fm Podcast