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Akanksha Gupta

PROFILE

Akanksha Gupta

Akshu expanded distributed initialization test coverage for JAX on TPU v4 and v5p platforms in the GoogleCloudPlatform/ml-auto-solutions repository, validating both single-slice and multi-slice configurations across GCE and GKE environments. They developed and refined a Bash-based test script for Airflow in AI-Hypercomputer/maxtext, integrating Python3 and robust exit-status handling to improve reliability in CI pipelines. In AI-Hypercomputer/xpk, Akshu laid the groundwork for Pathways metrics collection by adding environment variables to workload configuration, enabling future observability across worker, rm, and proxy components. Their work demonstrated depth in CI/CD, cloud infrastructure, distributed systems, and Python-based automation.

Overall Statistics

Feature vs Bugs

100%Features

Repository Contributions

6Total
Bugs
0
Commits
6
Features
3
Lines of code
589
Activity Months2

Work History

March 2025

1 Commits • 1 Features

Mar 1, 2025

March 2025 (2025-03) focused on laying the foundations for Pathways metrics collection in AI-Hypercomputer/xpk, positioning the project for improved observability and data-driven optimization. The month delivered environment-configuration groundwork across the Pathways workload to enable metrics collection in future sprints, covering worker, rm, and proxy components in workload.py. No major bug fixes were completed this period; work emphasized correctness, future compatibility, and alignment with metrics initiatives.

November 2024

5 Commits • 2 Features

Nov 1, 2024

November 2024 performance summary: Expanded distributed initialization test coverage and stabilized test tooling across TPU platforms and CI environments. Key efforts include extending JAX distributed.initialize() tests to cover TPU v4/v5p across GCE and GKE (single-slice and multi-slice configurations with multiple test setups) and introducing a Bash-based test script for Airflow that verifies jax.distributed.initialize() with Python3 and robust exit-status reporting.

Activity

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Quality Metrics

Correctness81.6%
Maintainability80.0%
Architecture73.4%
Performance66.6%
AI Usage20.0%

Skills & Technologies

Programming Languages

BashPython

Technical Skills

CI/CDCloud ComputingCloud EngineeringCloud InfrastructureCloud TestingDevOpsDistributed SystemsPythonShell ScriptingTPU TestingTesting

Repositories Contributed To

3 repos

Overview of all repositories you've contributed to across your timeline

GoogleCloudPlatform/ml-auto-solutions

Nov 2024 Nov 2024
1 Month active

Languages Used

Python

Technical Skills

CI/CDCloud ComputingCloud InfrastructureCloud TestingDistributed SystemsPython

AI-Hypercomputer/maxtext

Nov 2024 Nov 2024
1 Month active

Languages Used

BashPython

Technical Skills

Distributed SystemsPythonShell ScriptingTesting

AI-Hypercomputer/xpk

Mar 2025 Mar 2025
1 Month active

Languages Used

Python

Technical Skills

Cloud EngineeringDevOps