Julia Dark
Software Engineering Manager at TileDB
Portland, Maine, United States
Summary
🤩
Rockstar🎓
Top SchoolJulia Dark is a software engineering manager and principal engineer with nine years of experience building and optimizing high-performance storage and data systems. Based in Portland, Maine, she has progressed through technical and leadership roles at TileDB—contributing core backend improvements such as refactoring Subarray and range handling to boost query performance—and now leads engineering efforts there. Her background includes applied mathematics research and technical leadership at CFD Research Corporation, blending rigorous algorithmic thinking with practical system design. She is pragmatic about shipping robust infrastructure, with a knack for turning complex multidimensional data problems into maintainable code and test suites. Colleagues rely on her for both deep technical edits to storage engines and for mentoring teams through architecture changes. Her PhD training signals an uncommon depth in numerical methods that informs her approach to scalable data engineering.
9 years of coding experience
3 years of employment as a software developer
Doctor of Philosophy - PhD Applied Mathematics, Doctor of Philosophy - PhD Applied Mathematics at University of California, MercedUniversity of California, Los Angeles
Github Skills (12)
data-structures10
dynamic-array10
arrayobject10
storage-engine10
c-language10
cprogramming-language10
parallel-arrays10
data-structure10
typed-array10
multidimensional-arrays10
algorithms9
testing8
Programming languages (4)
Github contributions (5)
TileDB-Inc/TileDB
Feb 2022 - Jan 2023
The Universal Storage Engine
Role in this project:
Back-end Developer
Back-end DeveloperContributions:229 reviews, 79 commits, 89 PRs in 11 months
Contributions summary:Julia primarily focused on enhancing the core functionality of the `tiledb` repository, as indicated by the creation and modification of the `Subarray` class, which manages ranges and subsets on dimensions. Their work involved refactoring and introducing new classes for handling ranges, sorting, and subsets, contributing to the storage engine's ability to handle complex data arrangements. Furthermore, the user implemented several helper functions and tests for validating ranges and for their interactions with dimension labels, showing an involvement in query performance optimizations.
data-analysisdataframessparse-datadata-sciencescientific-computing
TileDB-Inc/TileDB-CF-Py
Dec 2020 - Feb 2022
TileDB interface with awareness of the CF metadata conventions
Contributions:16 releases, 83 reviews, 112 commits in 1 year 2 months
awarenesstiledbdatabasemetadataconventions
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