Amanda Potts

I work on large-scale data and analytics systems, focusing on performance, correctness, and maintainable Python infrastructure.

Open-source contributions

• Arkouda
  Core development on the Python client and pandas interoperability layer, including ExtensionArray implementations, join and groupby semantics, dtype handling, and test coverage.

• spack-packages
  Contributions to package definitions and dependency fixes supporting HPC and analytics workflows.

Technical interests

• Distributed data systems and array backends
• Pandas / NumPy interoperability and API design
• Performance-sensitive Python and systems-level debugging
• Analytics and ML infrastructure (platform and tooling)