Evan Sparks
Chief Product Officer, AI at AI Infrastructure Alliance
California, United States
Summary
👤
Senior🎓
Top SchoolEvan Sparks is a founder and technology executive with 12 years of experience building AI, distributed systems, and data-driven products from research prototypes to enterprise scale. He founded Determined AI (acquired by HPE) and subsequently led AI product and cloud businesses at Hewlett Packard Enterprise, combining hands-on engineering leadership with strategic go-to-market execution. A Berkeley PhD with roots in AMPLab, he has contributed to open-source ML infrastructure such as KeystoneML and has deep experience shipping back-end systems and ML tooling. Based in California, Evan blends academic rigor, quant finance modeling experience, and operator grit—evident in early work resolving build and dependency issues on production-grade Spark ML projects. Now leading a stealth venture, he focuses on making AI development and deployment more robust and accessible at scale.
12 years of coding experience
12 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Computer Science, Doctor of Philosophy (Ph.D.), Computer Science at University of California, BerkeleyCFA InstituteB.A., Computer Science, Economics, B.A., Computer Science, Economics at Dartmouth College
French
Stackoverflow
363reputation
19kreached
2answers
5questions
Github Skills (14)
scala10
machine-learning9
architecture8
architectures8
documentation7
foreach6
javascript6
matrix6
jquery6
python6
dataframe6
r6
plyr6
rpy26
Programming languages (6)
Github contributions (5)
amplab/keystone
Apr 2015 - Apr 2017
Simplifying robust end-to-end machine learning on Apache Spark.
Role in this project:
Back-end Developer & ML Engineer
Back-end Developer & ML EngineerContributions:1 release, 319 commits, 101 PRs in 2 years
Contributions summary:Evan's initial commit introduces core infrastructure components and definitions for the project. The user subsequently focused on fixing compilation issues by removing OpenCV references, suggesting a need to resolve build dependencies. They then added Scaladoc documentation to the project's pipeline component.
pythonend-to-enddata-sciencemachine-learningapache
amplab/MLI
Jul 2013 - Sep 2016
Contributions:29 commits, 1 push, 1 comment in 3 years 3 months
distributed-machine-learningapimachine-learningdistributed
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