Cloudglue and Tinycloud
Cloudglue APIs and Tinycloud agents for turning video collections into searchable, queryable knowledge with replayable evidence.
Co-founder and CTO
Hi, I’m Kevin Dela Rosa.
I’ve shipped AI at every scale, in consumer products and the infrastructure behind them: product matching across Amazon’s catalog, visual search and OCR for hundreds of millions of Snapchatters along with the ML platform that trained them, and now video agents at Cloudglue, where I’m co-founder and CTO.
Open to speaking and consulting. Message me on LinkedIn.
Shipped and spoken at Super Bowl LV · Cannes Lions · Art Basel · DEF CON · KubeCon · AWS re:Invent
Published at NeurIPS · ICCV · CVPR · WACV · KDD · ACM WWW · SIGIR · ACM RecSys · ACM CAIS · NAACL · ISMIR
Products, open-source tools, and systems shipped at scale.
Cloudglue APIs and Tinycloud agents for turning video collections into searchable, queryable knowledge with replayable evidence.
Co-founder and CTOA video OSINT agent that searches, listens, matches, maps, and remembers across a collection of video.
CreatorAn offline card scanner and open-source visual matcher. A computer-vision rabbit hole, built for a real card show.
CreatorA video-agent system for real-time OSINT: find targets, extract signals, and generate grounded reports.
DEF CON 33 Recon Village speakerComputer vision and retrieval systems shipped into Snapchat camera, Scan, search, messaging, and AR.
Staff ML Engineer and Tech Lead ManagerContinuous ML, labeling, training, deployment, and GPU infrastructure for camera intelligence and gen AI.
Tech lead and managerInformation retrieval, NLP, learning systems, product matching, and practical AI.
Researcher and software engineerConference talks and live demos on video agents, retrieval, and production ML.
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2015
Product demos: Tinycloud launch demo · Cloudglue MCP with Claude Desktop
Selected papers on multimodal retrieval, video agents, and computer vision.
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Also an inventor on 11 patents in visual search, scanning, OCR, and ML systems.
The ideas, experiments, and decisions behind the work.
Building Overcast: the real algorithms behind the hacker-movie tropes, connected to an agent that remembers.
Bring your own catalog to the offline visual matcher, and reproduce the benchmarks behind it.
10,023 trading cards, an offline iPhone scanner, and a return to classic computer vision.
I give talks and live demos on video agents, retrieval, and production ML, and consult on taking AI systems to production. Message me on LinkedIn with the event or project, timing, and format.