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virgileMaon

PROFILE

Virgilemaon

Virgile Moi worked on expanding mobile app detection capabilities in the matomo-org/device-detector repository, focusing on business value through improved analytics attribution and data quality. Over two months, Virgile implemented detection for the HeartFocus and HeartFocus Education iOS apps by designing dedicated regular expressions and updating YAML-based fixtures to recognize specific user agents and versions. This configuration management approach enhanced the detector’s coverage for iOS apps, enabling more accurate segmentation and attribution for customers. The work demonstrated technical ownership by integrating seamlessly with the existing detection pipeline and establishing a fixture-driven process that supports future extensibility and developer onboarding.

Overall Statistics

Feature vs Bugs

100%Features

Repository Contributions

2Total
Bugs
0
Commits
2
Features
2
Lines of code
21
Activity Months2

Work History

March 2025

1 Commits • 1 Features

Mar 1, 2025

March 2025: Implemented HeartFocus iOS App Detection in matomo-org/device-detector, expanding mobile app recognition by updating fixtures and regex configurations to detect HeartFocus iOS user agents and versions. The change enhances data quality and business insights by increasing detection coverage for iOS apps, enabling more accurate analytics, attribution, and segmentation for customers relying on this detector. Fully traceable to commit 865206aecfac244fc38e165a2fc313dc5eed6e63 (#8028).

January 2025

1 Commits • 1 Features

Jan 1, 2025

January 2025 summary for matomo-org/device-detector focusing on business value through feature expansion and improved analytics fidelity. Key feature delivered: HeartFocus Education iOS app detection added to device-detector, with a dedicated regular expression to identify the app's user agent and updated mobile app fixtures to ensure robust recognition. No major bugs reported this month; effort centered on expanding device coverage, improving attribution accuracy, and reducing UA parsing errors. This work enhances customers' ability to attribute analytics to specific mobile apps and strengthens the detector’s coverage for iOS apps.

Activity

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Quality Metrics

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

Skills & Technologies

Programming Languages

YAML

Technical Skills

Configuration ManagementData ConfigurationMobile App Detection

Repositories Contributed To

1 repo

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

matomo-org/device-detector

Jan 2025 Mar 2025
2 Months active

Languages Used

YAML

Technical Skills

Data ConfigurationMobile App DetectionConfiguration Management

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