Joseph Ellis
Machine Learning Scientist at CesiumAstro
Austin, Texas, United States
Summary
👤
Senior🎓
Top SchoolJoseph Ellis is a Machine Learning Scientist and founder-turned-executive with 13 years of experience building multimodal vision AI systems, most recently leading ML integration across CesiumAstro after Cesium acquired his startup Vidrovr. He co-founded Vidrovr to commercialize large-scale video understanding and knowledge-graph driven multimedia search used by Fortune 100 and government customers, drawing on research from Columbia’s DVMM lab and an NSF Graduate Research Fellowship. His background spans research and product roles at Google, IBM Research, and MITRE, blending academic rigor with product-first engineering. Joseph dropped out of a Columbia PhD to scale a startup—a move that highlights his ability to turn deep research into deployed, mission-critical systems. Based in Austin with roots in Brooklyn, he combines hands-on ML innovation for space and multimedia with a proven track record of commercializing cutting-edge computer vision technology.
13 years of coding experience
12 years of employment as a software developer
B.S./B.A., Electrical Engineering, Mathematics, B.S./B.A., Electrical Engineering, Mathematics at University of San DiegoPhD -- Dropped out to start Vidrovr, Computer Science, PhD -- Dropped out to start Vidrovr, Computer Science at Columbia UniversityGithub contributions (5)
jellis505/reproducingcodes
Jan 2013 - May 2013
Contributions:26 commits in 3 months
jellis505/caffe
Oct 2015 - Oct 2015
Contributions:16 pushes in 14 days
deep-learningpytorchcaffemachine-learning
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