Pipeline discipline
DIT work demands flawless data management, colour accuracy and redundancy. Every AI pipeline I build follows the same standards.
The Hollywood Proof
Before the neural nets, there was cinema
17 years managing complex image pipelines on major film sets. DIT and camera credits on productions for Universal, Netflix, Sony and more — now applying that same discipline to AI workflows.
Studios & partners
UNIVERSALNETFLIXAMAZON STUDIOSSONY PICTURESNBCCBSTECHNICOLORDELUXECOMPANY 3
Selected film credits
A selection of notable projects. View the full filmography on IMDb →
| Project | Year | Role |
|---|---|---|
| The Long Walk | 2025 | DIT |
| Violent Night | 2022 | Camera |
| NOBODY | 2021 | DIT |
| Tales from the Loop (8 eps) | 2020 | DIT |
| The Grudge | 2019 | DIT |
| Fractured | 2019 | DIT |
+57 total credits on IMDb (2007–2025) · DIT, camera and post-production roles
View full IMDb filmographyThe bridge
How set experience becomes AI pipeline skill
Three things transfer directly from a film set to a production AI pipeline.
Problem-solving at speed
On-set problems need immediate solutions. That pressure-tested ability to diagnose and fix translates straight to AI workflow debugging.
Colour science foundation
Years of grading, LUT creation and colour-managed workflows inform every AI image pipeline — outputs that meet broadcast and cinema standards.
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