I build AI systems for the nation's most complex missions — and I believe the hardest problems in this field are never purely technical.
I am currently a Principal Data Scientist at SAIC, where I lead AI/ML strategy across a $4.6B+ opportunity pipeline — architecting modernization solutions across defense and civil federal agencies. My work spans enterprise-scale RAG systems, agentic workflows, and the technical whitepapers that define how next-generation data architectures actually get built and deployed at community scale.
My path here was not linear. I'm an Air Force military brat, eldest of four, raised by a Combat Communications father whose standard was excellence without excuses. At 16, I was five feet from the blast in the 2016 Brussels Airport terrorist attack. I lost my mother — the only constant in an ever-changing lifestyle. My pillar. I nearly lost my left leg. I spent a year in rehabilitation — relearning how to stand, how to walk — and I still accepted my AFROTC full-ride scholarship on the other side of it. I deferred it one year. I still had countless orthopedic and burn surgeries the entirety of my undergrad. I showed up every day despite it all.
I am a limb salvage patient. I wear an IDEO brace to move through the world. I have a Master of Data Science from UC San Diego, multiple federal civilian awards, an Emmy, and a job I'm proud of. I tell this story not for sympathy but because it is the foundation of everything I build: I have never had the luxury of assuming a system was designed with me in mind. That shapes how I approach every novel challenge. It shapes how I approach AI.
I'm working toward a PhD at the intersection of AI and limb salvage research — a field where young women like me are nearly absent from the literature. I believe that is a problem worth solving.
Leading AI and Data strategy across Navy, DoT, DHS, MPA, and VA — not at the project level, but at the community level. Building the RAG pipelines, agentic workflows, and data architectures that modernize entire agencies and defense communities.
Authoring the technical whitepapers and frameworks that define how next-generation systems actually get built — unifying legacy data paradigms with retrieval-augmented generation, agentic workflows, and modern LLM integration. The specifications that shape what gets deployed at scale.
Translating deep technical capability into executive decision frameworks — moving leadership from process-driven models to performance-metric ones. Trusted to represent AI strategy to the stakeholders who determine what billions of dollars in modernization actually fund.
I've given resiliency speeches at schools, military bases, and fundraising events. I've presented AI strategy to federal executives and defense leadership. I am adept at any setting I walk into — and I believe the best talks live at the intersection of the technical and the deeply human. Emmy-recognized. Still standing.
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