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Zachary Kenneth Stewart

PROFILE

Zachary Kenneth Stewart

Over a three-month period, contributed to the bioconda/bioconda-recipes repository by developing and upgrading packaging recipes for bioinformatics tools, focusing on reproducibility and deployment efficiency. Delivered new and updated recipes for PSQTL and BINge, implementing Python and shell scripting to automate per-sample QTL prediction workflows and ensure compatibility with evolving dependencies. Enhanced package metadata using YAML configuration, clarified licensing, and optimized installation processes by introducing symlink-based executable management. Prioritized build integrity and metadata consistency, enabling reliable and reproducible builds for researchers. The work demonstrated strong skills in package management, version control, and collaborative repository maintenance within the bioinformatics domain.

Overall Statistics

Feature vs Bugs

100%Features

Repository Contributions

4Total
Bugs
0
Commits
4
Features
4
Lines of code
99
Activity Months3

Work History

May 2026

2 Commits • 2 Features

May 1, 2026

May 2026: Key packaging quality improvements and a targeted package upgrade for bioconda-recipes, delivering reproducible builds, license clarity, and installation efficiency.

April 2026

1 Commits • 1 Features

Apr 1, 2026

Month: 2026-04 — Bioconda repository performance and stability focused month. Delivered a targeted dependency update to ensure compatibility with the latest release while preserving build integrity.

January 2026

1 Commits • 1 Features

Jan 1, 2026

Month: 2026-01 — Summary: Delivered PSQTL 1.3.7 recipe for per-sample QTL prediction in bioconda/bioconda-recipes, including new scripts and dependency updates to support per-sample sequencing analyses. Commit 894bd5c9d4d809b9f285dba1b70caf9dcbc23f9f documents the change with message: 'New recipe: psqtl 1.3.7 (#62116)'. No major bugs fixed this month; effort focused on feature delivery and packaging quality. Overall impact: enables reproducible deployment of per-sample QTL workflows, speeds up researcher setup, and strengthens Bioconda packaging. Technologies/skills demonstrated: Conda packaging, dependency management, versioned recipe creation, scripting for QTL workflows, and repository collaboration.

Activity

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Quality Metrics

Correctness100.0%
Maintainability100.0%
Architecture100.0%
Performance100.0%
AI Usage20.0%

Skills & Technologies

Programming Languages

BashPythonShellYAML

Technical Skills

Python scriptingYAML configurationbioinformaticspackage managementshell scriptingversion control

Repositories Contributed To

1 repo

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

bioconda/bioconda-recipes

Jan 2026 May 2026
3 Months active

Languages Used

BashPythonYAMLShell

Technical Skills

Python scriptingbioinformaticspackage managementshell scriptingversion controlYAML configuration