I have always been passionate about technology and have been fascinated by the endless possibilities it brings. From a young age, I have been tinkering with computers and have enjoyed learning about the world around me and how tech can be used to solve problems. That curiosity eventually led me to a degree in statistics and a career that's taken me from building ML pipelines at SAS and Collibra to designing MLOps platforms at Booz Allen, and now to the frontier work I'm doing at Seekr.
As a Senior AI Solutions Engineer at Seekr, I work at the intersection of model development and the infrastructure that has to run it safely and reliably. What that looks like day-to-day is below.
Outside of work, I keep building. Recent side projects have pushed me further into full-stack territory with Vue and React, deployed on Vercel — building things that ship is the fastest feedback loop I know.
Closing the gap between a general-purpose model and one that actually understands a specific domain well enough to trust.
Designing for environments where data never leaves the building and every dependency has to be accounted for.
A system that takes action on its own only earns that trust once you can show it acts correctly, consistently.
The unglamorous work that determines whether anything above this line can actually be relied on in production.
Getting a model from 'it works on my machine' to something that serves real traffic reliably.
Every deployment reproducible and auditable — no snowflake environments, no tribal knowledge.
I currently live in the DC area and enjoy the access to public transit and the running trails that this area offers. There's something special about being able to explore both urban environments and natural spaces so easily.
Thanks for stopping by — always happy to chat.

One of my favorite hiking adventures — exploring the landscapes of Iceland
Interested in chatting about AI, infrastructure, side projects, or the DC trail system?