Kenny Daniel is a founder and AI infrastructure veteran with 14 years of engineering leadership, 20+ years focused on accelerating AI from research to production. He co-founded Algorithmia to pioneer GPU-hosted model serving, helped scale MLOps and deep learning at DataRobot as CTO of MLOps, and today leads Hyperparam building tools to make ML dataset curation orders of magnitude more efficient. Trained in math and CS at Carnegie Mellon and a Ph.D. candidate in AI at USC, he blends rigorous academic foundations with practical product instincts. Kenny is a hands-on builder who contributes to open-source tooling—including cross-cutting full-stack fixes to the popular OpenJSCAD project—demonstrating expertise from serialization and CLI behavior to modeling logic. He excels at turning complex ML infrastructure problems into developer-friendly platforms and repeatedly moves early-stage AI ideas into production and acquisition. Based in Seattle, he asks the pragmatic question that guides his work: "What's not perfect... yet?"
13 years of coding experience
18 years of employment as a software developer
Doctor of Philosophy (on Leave of Absence) Artificial Intelligence, Doctor of Philosophy (on Leave of Absence) Artificial Intelligence at University of Southern California
B.S. Math, B.S. Math at Carnegie Mellon University
JSCAD is an open source set of modular, browser and command line tools for creating parametric 2D and 3D designs with JavaScript code. It provides a quick, precise and reproducible method for generating 3D models, and is especially useful for 3D printing applications.
Role in this project:
Full-stack Developer
Contributions:234 reviews, 62 commits, 90 PRs in 1 year 3 months
Contributions summary:Kenny contributed to the project by fixing bugs and implementing new features across multiple components. The user corrected issues in the DXF serializer by improving color palette selection and addressed the CLI by ensuring proper exit codes. Furthermore, the user implemented a new OBJ serializer, adding color support and multi-object serialization features. The contributions demonstrate proficiency across input/output serialization, command-line tool improvements, and core modeling logic.
Contributions:118 commits, 2 PRs, 99 pushes in 7 years 6 months
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