Nicholas Wold
Fullstack Engineer at Hex
Oakland, California, United States
Summary
👤
Senior🎓
Top SchoolNicholas Wold is a full-stack engineer and entrepreneur with 12 years of experience spanning InfoSec, DevOps, backend systems, and leadership roles. He founded LunaDB, a managed real-time database for multiplayer collaboration, and most recently joins Hex as a Fullstack Engineer, combining product-focused engineering with operational know-how. Nicholas has led teams and mentored engineers while contributing to notable open-source projects like Jupyter’s nbformat, where he improved validation and error-repair for notebook metadata and cell IDs. Based in Oakland, he brings a pragmatic blend of security-minded engineering and startup grit, able to move projects from prototype to production quickly. Colleagues describe him as a hands-on technical lead who still enjoys digging into low-level validation and reliability problems.
13 years of coding experience
9 years of employment as a software developer
University of California, Berkeley
Github Skills (8)
nib10
validation10
python10
validations10
json-schema10
jupyter9
pytest9
testing9
Programming languages (6)
Github contributions (5)
jupyter/nbformat
Jan 2022 - Jan 2022
Reference implementation of the Jupyter Notebook format
Role in this project:
Back-end Developer
Back-end DeveloperContributions:6 commits, 2 PRs, 1 issue in 4 days
Contributions summary:Nicholas primarily focused on improving the `nbformat` library's validation functionality. They implemented features to repair and handle validation errors related to cell IDs and metadata. The changes included adding a `repair` kwarg, modifying validation logic to auto-generate or correct cell IDs and introducing a mechanism to strip invalid metadata. Additionally, the user made minor changes such as removing a Python 3.5 test from the CI matrix and excluding a script from the manifest.
jupyter-notebook
MSeal/sending
Aug 2021 - Aug 2022
Async Pub/Sub library for Python
Contributions:5 reviews, 55 commits, 6 PRs in 11 months
asyncpython
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