Roban Hultman Kramer

holding my breath

One-page resume

Machine Epistemology

GitHub Profile

Stripe, Machine Learning, 2015-2022

Machine Learning Engineer

(2021-2022: Responsible Machine Learning)

Founding engineer for Responsible Machine Learning, working across ML teams at Stripe to decrease systemic barriers to economic participation and equalize access to the internet economy.

(2020-2021: Payment Intelligence Optimizations)

Optimizing how payments are presented to card networks to maximize authorization rates while controlling impacts on costs and fraud.

Machine Learning Engineering Manager

(2018-2020: Merchant Forecasting)

Founding manager of the Merchant Forecasting team, focussing on merchant-level loss prevention.

Machine Learning Engineer

(2015-2018: Transaction Fraud / Radar, Merchant Modeling)

Transaction fraud modeling (Radar product), merchant fraud modeling, card testing detection.

Past Employment

Data Scientist at Gerson Lehrman Group

(2012 - 2014)

Recommendation systems to match clients with expert consultants.

Zwicky Prize Fellow in Astrophysics at ETH Zürich (Swiss Federal Institute of Technology)


Studying the early universe using light from distant quasars.


Machine Learning and Programming Experience

My experience includes: python (tensorflow, scipy, numpy, pandas, sklearn, jupyter), ruby, scala (spark, scalding), SQL, decision theory, machine learning, Bayesian inference (probabilistic data analysis), Markov chain Monte-Carlo algorithms (MCMC), data visualization (Matplotlib, d3, ggplot).

Machine Epistemology

Talk at DataGotham 2012

Astrophysics Publications