Work
The projects here span AI products, modernization work, and cloud-backed systems, but the pattern is usually the same: make the product clearer, make the system sturdier, and reduce the drag around it.
01
I build retrieval, workflow, and evaluation layers that help a product stay useful without pretending it knows more than it does.
Representative proof
TwinMail - AI-native email workflows
Offline .mbox ingestion supports archives up to about 55 GB.
02
I like cleaning up high-friction workflows, reducing manual work, and leaving teams with fewer brittle steps to maintain.
Representative proof
EPIC operations modernization
Paper-heavy workflows were shifted into self-service systems.
03
The stack usually comes down to clear boundaries, reliable services, and infrastructure choices a team can keep living with.
Representative proof
TwinVault - secure AI-enhanced asset platform
Role-aware controls and audit-friendly lineage were built into the platform from the start.
Trust layer
If you want a feel for how I work, start with the public links, the repos, and the case studies. I would rather show the work than dress it up.
Operating signals
Public links and case studies are here so you can verify the work yourself.
The assistant stays inside published material instead of improvising past the source.
Contact stays structured and protected so conversations do not disappear into a generic inbox.
The through-line
Start with the case studies if you want the story. Use the resume view if you want the experience framed for a role. Reach out if you already know what kind of help you need.
Hover preview
Ask what to read first, what I have built, or whether I might be a fit.