Digital asset management · AI content operations · Los Angeles

I make huge content libraries findable, rights‑safe and fast.

Digital asset management and AI content operations at enterprise scale. Before that, eight years on film sets. Always building something.

See the work Get in touch

Everything here is searchable. Try

AI-assisted metadata

assets in the DAM I help run: 2M+
alt text success rate, manual vs. the AI pipeline: 70→99.1%
workdays a year saved by automating alt text: ~200
film & TV credits on IMDb: 55

Selected work

All 8 projects →

2023<img src="…" alt="">

now

<img src="…" alt="Maroon air fryer with digital controls on a kitchen counter beside a bowl of artichokes and a matching carafe.">

Case study · AI · Accessibility

AI alt text at retail scale

Partnering with Adobe on Brand Aware Metadata to put LLM-written alt text into production on a major retail website.

2025–2026AIMetadata

System · Automation · Rights

Rights that travel with the file

An Airtable intake that captures usage rights at delivery and keeps them attached to the assets, built for producer teams across the agency.

2025–2026AutomationOperationsMetadata

Taxonomy · Metadata

One vocabulary, agency-wide

Shared metadata taxonomies adopted agency-wide on a 2M+ asset DAM.

2025–2026MetadataOperations

Side project · Taxonomy · Web

Pigfolio

A pigment-level catalog of 2,250+ artists' oil paints, normalized by Colour Index code so painters can compare brands honestly.

2026MetadataBuild

Dept	Grip · IATSE 52
Crew	30–40
Truck	5-ton · ~$1.2M kit
Call	06:00 · wrap: late
Credits	55 on IMDb

Operations · Film & TV

Eight years running set operations

Best boy grip, dolly grip and key grip on New York film and TV sets: crews, budgets, and a truck full of equipment.

2013–2021Operations

Headshot: in pre-production

How I work

I do my best work as a hands-on operations and technical lead: designing the workflow, building the tools, keeping the details straight and raising technical risks early, so the person making the call has what they need. On a film set, that role is called best boy.

More about me →

Direct and precise. Real problems get named early, not discovered late.
Everything reversible. If a bulk change can’t be undone, it isn’t ready.
Rights at the start. Metadata captured at intake is cheaper than metadata hunted down later.
AI with a checker. Models generate, a loop verifies, people handle the exceptions.

Off the clock: oil paint

Visit the studio →

Working on a content library?

I’m glad to talk DAM, metadata, rights and practical AI that holds up in production.

Get in touch LinkedIn