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 spend my days fine-tuning foundation models, configuring GPU infrastructure for secure environments, and building Sovereign AI deployments — systems designed to operate with full data residency control, no external API dependence, and compliance from the ground up. I also get deep into the question of how you actually measure whether an agentic system is doing the right things — effective tool use, model explainability, and behavioral evaluation are areas I think about constantly.
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.
Data pipelines, PEFT/LoRA, instruction tuning, and alignment for domain-specific use cases.
Secure, air-gapped deployments on hardened GPU clusters — sovereignty as a first-class requirement.
Autonomous systems with self-improvement loops, effective tool use, and measurable task completion.
Building evals that actually catch failures — tool-use measurement, attribution, and behavioral drift.
Production inference with KServe and vLLM on Kubernetes, paired with GitOps delivery workflows.
Terraform modules and Helm charts for repeatable, auditable platform deployments.
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.
On this site, I'll be sharing experiences, insights, and lessons from the frontier of AI engineering — the practical stuff that doesn't always make it into blog posts or conference talks. Things like what actually breaks in production, how to think about model evaluation, and what it means to build AI systems that people can trust.
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?