About

Hi! I am an ambitious data engineer who is eager to share emerging technologies with the world.

Currently, I am consulting as a freelance technical writer and data engineer for multiple tech companies and clients. I specialize in breaking down complex scientific concepts for general audiences, performing deep dives on emerging technology, and creating executive summaries in rapidly evolving markets.

Previously as a senior data engineer at SeamlessAI (LinkedIn’s #7 startup in 2022), I built and optimized AWS Glue pipelines to ingest, clean, and process hundreds of terabytes of data for identity resolution. At Peraton, I served as the lead data engineer for analysis of over $5T in COVID-19 relief funding, where I used Databricks, Azure Data Factory/Synapse and PowerBI to reduce manual effort and overall runtime to generate analytics for fraud investigations. I also spent time as a solutions architect designing AI and cloud systems, co-authoring data analytics white papers and proposals, and leading live customer demos. I’ve worked as a systems engineer on Agile Model Based Systems Engineering (MBSE) projects and hardware design from internal R&D through on-contract delivery to the customer. My background in electrical engineering provides a firm foundation in technical design and computational analytics.

With experience on both the business and technical side of systems engineering, I excel in translating a wide array of advanced technical capabilities into business value. Conversely, I can quickly identify operations pain points and architect solutions to optimize performance, reliability, and cost. My favorite projects are those that provide opportunities to tailor emerging, best-in-class technology to where the rubber meets the road in practical applications.

My time away from screens is spent traveling and horseback riding. I’ve visited 38 US states and 19 countries around the world.