Alvin Deng is a Member of Technical Staff and seasoned machine learning engineer with 11 years of experience building production ML systems across startups and large tech companies. He has led 0-to-1 recommendation and safety systems at Discord, improving detection throughput and engagement, and now focuses on productizing data curation research at DatologyAI to make model training more efficient. His background spans applied research and full-stack delivery—from panoptic segmentation and video quality work to graph clustering and LLM memorization research at EleutherAI. An active angel investor in early-stage ML startups, he combines product intuition with rigorous experimentation to turn prototypes into high-impact features. Notably, he has driven cross-functional technical leadership that translated into measurable business outcomes (e.g., large detection lift and sizable CS cost savings) while keeping one foot in cutting-edge research. Based in San Francisco, he blends academic training from UT Austin with a pragmatic track record of shipping ML-driven products at scale.
11 years of coding experience
10 years of employment as a software developer
Bachelor of Science - BS, Computer Science, Bachelor of Science - BS, Computer Science at The University of Texas at Austin
Contributions:51 commits, 2 PRs, 48 pushes in 5 years 7 months
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