Daniel Mendelevitch
Research Scientist at Runway
San Carlos, California, United States
Summary
👤
Senior🎓
Top SchoolDaniel Mendelevitch is a research scientist with eight years of experience building and shipping deep learning systems across leading AI startups in the Bay Area. He has moved from data-focused work on synthetic dataset metrics to applied research and engineering roles at Stability AI, Luma AI, and Runway, blending model development with production-ready implementations. Based in San Carlos, he focuses on generative and video-related ML (hinted by his concise GitHub bio) and is comfortable bridging experimentation and scalable deployment. A UCLA data science graduate, he brings a pragmatic research mindset and a track record of turning complex data problems into measurable, deployable solutions.
8 years of coding experience
3 years of employment as a software developer
The Kehillah SchoolUniversity of California, Los Angeles
Github Skills (12)
big-data6
machine-learning4
clip4
deep-learning3
extraction3
ssim3
large-scale2
scale2
audio2
computer-vision2
video-processing1
video-editing1
Programming languages (2)
Github contributions (5)
danielmend/video_clip
Aug 2022 - Sep 2022
Contributions:39 commits, 9 pushes in 1 month
danielmend/temporal-embedding-aggregation
Oct 2022 - Jan 2023
Aggregating embeddings over time
Contributions:1 PR, 171 pushes, 8 branches in 2 months
deep-learningembeddingsmachine-learning
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