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Eric DiMeo

PROFILE

Eric Dimeo

Eric DiMeo developed automated IRS metrics reporting features for the 18F/identity-idp repository, focusing on scheduled generation and distribution of authentication, fraud, and demographic reports. He designed new report classes in Ruby, integrated job scheduling for weekly, monthly, and quarterly delivery, and configured email notifications to ensure clear IRS identification. Leveraging AWS S3 for report storage and CloudWatch for sourcing demographic data, Eric improved data availability and auditability. He also enhanced documentation and fixed reporting typos, ensuring accuracy and clarity. His work demonstrated depth in backend development, reporting automation, and configuration-driven design, supporting data-driven oversight and reducing manual reporting effort.

Overall Statistics

Feature vs Bugs

75%Features

Repository Contributions

6Total
Bugs
1
Commits
6
Features
3
Lines of code
2,350
Activity Months3

Work History

July 2025

1 Commits • 1 Features

Jul 1, 2025

July 2025 monthly summary for 18F/identity-idp focusing on key features, bug fixes, impact, and technical skills demonstrated. Delivered a clarifications update to the IRS Verification Demographics Report, improving documentation accuracy and clarity by specifying that the count reflects users who verified within the reporting period and breaking down results by age and geographic area. This work is tracked in the changelog and linked to internal reporting changes.

June 2025

2 Commits • 1 Features

Jun 1, 2025

June 2025 monthly summary for 18F/identity-idp focusing on delivering automated reporting capabilities and improving report quality. Implemented a new quarterly metrics automation and fixed critical reporting typo to ensure accuracy and professionalism across all IRS-related reports. Demonstrated strong commitment to reliability, auditability, and data-driven governance.

May 2025

3 Commits • 1 Features

May 1, 2025

May 2025 — 18F/identity-idp delivered the IRS Metrics Reporting feature, enabling scheduled weekly authentication metrics and monthly fraud metrics reports. The work included new report classes, configuration for email recipients/issuers, integration with the job scheduler, and updates to email subject lines to clearly identify IRS communications. No major bugs were reported; the focus was on delivering a reliable, configurable reporting pipeline. Business value: automated, timely visibility into authentication and fraud metrics for IRS oversight, reducing manual effort and enabling data-driven improvements. Technologies demonstrated: scheduling, report generation, email integration, and configuration-driven design.

Activity

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Quality Metrics

Correctness100.0%
Maintainability96.6%
Architecture96.6%
Performance90.0%
AI Usage20.0%

Skills & Technologies

Programming Languages

HTMLRubyYAML

Technical Skills

AWS S3Backend DevelopmentBug FixCloudWatchCloudwatchDocumentationEmail ServicesJob SchedulingReportingRuby on RailsScheduled JobsTesting

Repositories Contributed To

1 repo

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

18F/identity-idp

May 2025 Jul 2025
3 Months active

Languages Used

HTMLRubyYAML

Technical Skills

AWS S3Backend DevelopmentCloudWatchCloudwatchEmail ServicesJob Scheduling

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