Christopher Curtis

SVP, Global Professional Services at Workday

Greater Minneapolis-St. Paul Area United States
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Summary

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Senior
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Top School
Christopher Curtis is a seasoned global professional services executive with over two decades of experience building and scaling delivery organizations for enterprise software, currently serving as SVP, Global Professional Services at Workday. He has repeatedly led large, revenue-generating services businesses—most notably growing SAP HANA services into a €100M+ practice and overseeing a 1,400-person analytics services organization—then translating that scale to Workday’s global deployments. Technically grounded with a BS in Computer Science and early systems experience at Exxon and Solvay, he blends deep operational rigor with a strong product and cloud services sensibility honed at Pivotal and ISG. Now pursuing PhD research in transformer architectures, benchmarking, deep learning, and human–AI interaction, he uniquely combines executive delivery leadership with an active interest in AI for the future of work.
code8 years of coding experience
job12 years of employment as a software developer
bookBS, Computer Science, BS, Computer Science at University of Oklahoma
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Github Skills (9)

melon4
grid-world3
fundamental2
python2
algorithms2
data-structures1
reinforcement-learning1
java1
data-analysis1

Programming languages (2)

TypeScriptPython

Github contributions (5)

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CurtisChris7/GridwoRLd

Sep 2021 - Jun 2023

Contains implementations for several fundamental Reinforcement Learning algorithms and provides a means of interfacing with them such that custom gridworld type problems can be solved using these methods. Contains several examples such as navigating along a racetrack, moving along a windy path, moving around obstacles etc.
Contributions:2 PRs, 9 pushes, 3 branches in 1 year 9 months
grid-worldreinforcement-learning
CurtisChris7/Stats-Pal

Aug 2022 - Sep 2023

Comprehensive Python implementations of fundamental statistical methods. Methods are derived from "An Introduction to Statistical Methods and Data Analysis", Seventh Edition, by: R. Lyman Ott, Michael Longnecker.
Contributions:8 PRs, 11 pushes, 3 branches in 1 year 1 month
data-analysispython
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