Naty Clementi
Virginia, United States
Summary
🤩
RockstarNaty Clementi is a senior software engineer with 11 years’ experience building and maintaining Python-based data infrastructure and open-source projects, currently advancing RAPIDS deployment at NVIDIA. She has deep expertise in the PyData stack—notably Dask and Ibis—contributing backend fixes, geospatial support for DuckDB, and dashboard/monitoring improvements to Dask Distributed. Comfortable in client-facing roles, she translates user needs into priorities, led developer-education efforts at Coiled, and helped turn community engagement into product traction. Her academic background (PhD-level computational physics) informs a methodical approach to numerical and scientific computing, evidenced by contributions to numerical teaching material and computational nanoplasmonics. Colleagues rely on her for improving test coverage and robustness across database backends and production deployments.
11 years of coding experience
Stackoverflow
51reputation
13kreached
3answers
0questions
Github Skills (31)
scheduled-tasks10
sqlite10
python10
data-engineering10
testing10
scheduler10
distributed-computing10
scheduling10
duckdb10
sched10
dask10
numerical-methods10
task-scheduler10
jupyter-notebook10
job-scheduling10
Programming languages (19)
Github contributions (5)
dask/dask
Apr 2021 - May 2026
Parallel computing with task scheduling
Role in this project:
Technical Writer & Data Engineer
Technical Writer & Data EngineerContributions:90 reviews, 31 PRs, 9 pushes in 5 years 1 month
Contributions summary:Naty primarily contributed to the project's documentation, improving the development guide, adding a Slack join link, and updating the access configuration documentation. They also made code changes related to bug fixes and feature enhancements within the Dask library, specifically related to array creation and DataFrame functionality. These changes included fixes for `da.eye` with `chunks=-1` and incorporating a bool type for `Index` in `DataFrame` handling. Furthermore, the user removed a pyarrow-only reference and organized the documentation for better understanding.
parallel-computingdaskpythonpydatanumpy
dask/distributed
Apr 2021 - Feb 2022
A distributed task scheduler for Dask
Role in this project:Back-end Developer
Back-end DeveloperContributions:68 reviews, 13 commits, 18 PRs in 9 months
Contributions summary:Naty primarily contributed to the Dask distributed task scheduler by implementing and refining worker plugin functionality. Their work involved unregistering worker plugins, adding occupancy plots to the dashboard, and restructuring the nbytes hover feature. They also added a worker network bandwidth chart and implemented a system timeseries component. The user's changes spanned multiple files related to the core scheduler, worker, and dashboard components, indicating a focus on improving monitoring and management capabilities.
dasktask-schedulerpydatadistributed-computingpython
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.