I work at the intersection of technology and business in enterprise AI at Bank of America, bridging technical and business worlds, aligning teams around a shared vision, and driving AI initiatives from strategy through production.
My mission is to shape the next generation of AI products, transforming artificial intelligence into capabilities and experiences that people trust, adopt, and benefit from at scale.
I believe in intentionally building solutions that change the trajectory of human thought, blending technology, humanity, and culture to help people make better decisions and navigate an increasingly complex world.
This website brings together my work across the business and technical dimensions of AI, highlighting selected experiences at the intersection of technology, strategy, and execution.
I write weekly about AI leadership, responsible deployment, enterprise AI trends, and what it takes to build AI solutions that are safe and beneficial for users, scalable for organizations, and future-proof for the road ahead.
Career
Currently focused on enterprise AI strategy, governance, and AI product delivery at one of the world’s largest financial institutions.
Erica for Employees · Enterprise Conversational AI Platform · Web & Voice
Google Assistant · Multilingual Enterprise NLP
Writing
Field notes from the AI industry, published weekly on Medium. I write about AI leadership, enterprise transformation, and what responsible deployment looks like in practice.
Coming Up Next
Governance makes AI safe; monitoring makes it beneficial. This piece breaks down the two disciplines every leader needs to get right, with practical frameworks and the questions worth asking before the next initiative goes live.
Published
Everyone knows technical and business teams struggle to communicate, but that framing undersells the problem. In enterprise AI, the gap between these two worlds creates friction, derails projects, erodes trust and, most importantly, produces AI systems that never quite deliver what they promised. This article offers practical insights on what each side actually needs, where things tend to break, and what it takes to hold it all together.
For years, the value of AI was measured by information access. Could the system retrieve the right information fast enough? Could it summarize, search, or surface what a human needed?
That question has lost most of its weight. The question now is whether the AI capability has the right scenarios and assumptions to make the best decision. That's a different bar than simply having the right information to describe one.
Before checking model outputs, the foundation has to be right. So as leaders, what are the foundations of a stable AI strategy? How are women changing the AI industry? And what separates lab experiments from products at scale, from both a technical and leadership standpoint? This article shares practical insights on all three, from women leaders shaping the AI industry right now.
Speaking
Panels, talks, and conversations at the intersection of AI, data science, and human-centered technology.
ChatADS is the official podcast of UChicago's MS-ADS program, featuring candid conversations on how data science, machine learning, and AI are applied to solve real-world problems. Topics span industry applications, career trajectories, emerging tech trends, and ethical data choices.
Panelist in a moderated discussion for UChicago's Kappa Theta Pi winter workshop series. Joined 5–6 professionals across product, engineering, data science, and strategy to share career journeys and advice for students navigating tech recruiting, followed by student Q&A and open networking.
Invited guest speaker for the ADSP program, sharing industry perspective on enterprise AI, NLP, and the path from engineering into AI product leadership.
One of a select group of judges chosen for exceptional professional experience in tech. Evaluated 13 project submissions across a 24-hour sprint with 150+ undergraduate and graduate participants from across the US. Provided technical feedback, asked probing questions, and contributed to final prize deliberations.
Beyond Work
The interests, values, and experiences that shape how I think about technology, people, and the world.
A closer look at the person behind the work: ideas, interests, and what matters to me beyond AI and product.