Technical Fluency. Not Marketing Fluff.

Mechanical engineer turned software engineer. Shipped proposal and report intelligence and internal automations for engineering consultancies, with data pipelines that turn years of firm documents into searchable, sales-ready assets. Previously supported revenue systems for 100k+ MRR apps at RevenueCat. B.S. Mechanical Engineering from LSU.

5+ years of enterprise ML at industrial leaders, recent focus on production GenAI. Shipped LLM systems at Koch Industries and Lumentum that cut operational time 40-70%: RAG-based compensation analysis tools, domain LLM fine-tuned on 100k+ manufacturing documents, and executive dashboards with natural language querying. M.S. Statistics from Northeastern.

Former senior data scientist at Deloitte and Aetna CVS Health, where her predictive models drove a $9M revenue impact in one year. Built marketing mix, multi-touch attribution, and customer lifetime value models for national healthcare campaigns and major retail brands. Doctorate in Quantitative Biosciences from Georgia Tech.

Applied machine learning to climate and water datasets, building dashboards used by local, state, and international government and business stakeholders, and directed $400k+ in federal and state projects as Assistant Director of the Georgia Water Resources Institute. Civil engineering doctorate from Georgia Tech.

10+ years building enterprise SaaS. Recent work includes AI and RAG platforms and automation tools that cut audit cycles by 70%, full stack across React, TypeScript, Node, C#, Python, and AWS. Internal software for client firms is built to the same enterprise standard. B.S. Software Engineering from San Jose State.

Turns engineering work into visuals buyers understand: 3D process animations, digital twins, interactive scenes. Ten years on the world’s largest stages, from Volvo digital twins and Duke Energy VR architecture to Deloitte’s flagship event at the Las Vegas Sphere and League of Legends Worlds.