Roban Kramer is a Principal Data Scientist with 16 years of experience applying machine learning to high-impact, real-world problems, currently leading efforts in Responsible AI and safety at Indeed. He specializes in AI ethics, fairness, accountability, and measuring downstream model impacts to prevent automated decisions from amplifying social and economic inequalities. His background spans fraud prevention, forecasting, and probabilistic modeling from leadership roles at Stripe to earlier data science and astrophysics research, bringing strong quantitative rigor and experiment design to production systems. Roban is particularly focused on building statistically rigorous evaluation and monitoring tools for large-scale AI applications—what he calls the hardest problem in applied ML: aligning models with real-world outcomes. Based in New Jersey, he combines deep academic training (PhD in Astronomy) with pragmatic engineering experience shipping systems that balance automation, human intervention, and societal considerations.
16 years of coding experience
12 years of employment as a software developer
BA Astrophysics, BA Astrophysics at Swarthmore College
PhD Astronomy, PhD Astronomy at Columbia University
Contributions:40 commits, 3 PRs, 14 pushes in 10 years 11 months
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