Titus Ebbecke is a founding engineer and generative deep learning specialist based in San Francisco with nine years of experience building interfaces and scaling models for AI image generation. He leads product development at krea.ai—shipping features like Krea Edit, Realtime, Enhancer, Flux, and Video—after engineering large image-generation models, HPC ML infrastructure, and novel human interfaces at Facet. His background blends design and research (MDes Berkeley) with hands-on systems work from Unity visualizations at Microsoft to robot-driven art at KUKA, giving him a rare cross-disciplinary fluency between HCI, creative tools, and backend ML engineering. Titus’s work often focuses on turning high-dimensional creative processes into usable interfaces, and he maintains a public portfolio of projects and writing at titusebbecke.com.
9 years of coding experience
3 years of employment as a software developer
Master of Design Design, Master of Design Design at University of California, Berkeley
Bachelor of Arts Design, Bachelor of Arts Design at Technical University of Applied Sciences Würzburg-Schweinfurt (THWS)
Webtool for filtering, transforming, and visualizing large datasets for computational biologists.
Contributions:1 release, 626 commits, 23 PRs in 2 years 1 month
webtooldataframesdata-sciencevisualizingdatasets
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