i-dot-ai/consult
May 2026 – Jun 2026
2 Months active
Languages Used
JavaScriptMarkdownPythonTerraformTypeScriptYAML
Technical Skills
API developmentAWSCI/CDDevOpsDjangoGitHub Actions
Georgia Rajamanoharan
PROFILE
Georgia Rajamanoharan
Worked on the i-dot-ai/consult repository to deliver targeted enhancements in container deployment, release workflows, and end-to-end testing over a two-month period. Introduced per-container image tagging and independent release workflows using Terraform and AWS, enabling faster, more reliable deployments and reducing production errors. Expanded infrastructure automation to support service-level deployments and streamlined configuration management through parameter store integration. Developed comprehensive end-to-end tests for user management and the response analysis page using Playwright and TypeScript, improving data integrity and onboarding. Enhanced backend support for candidate themes and demographic options, strengthening analytics and reducing regression risk through robust data modeling and QA improvements.
Overall Statistics
Feature vs Bugs
75%Features
Repository Contributions
6Total
Bugs
1
Commits
6
Features
3
Lines of code
1,506
Activity Months2
Your Network
37 peopleSame Organization
@cabinetoffice.gov.uk14
Shared Repositories
23
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Work History
June 2026
2 Commits • 1 Features
Jun 1, 20262026-06 monthly summary for i-dot-ai/consult focused on delivering end-to-end testing improvements and backend data support to strengthen the consultation workflow. The month produced actionable tests, robust fixtures, and backend enhancements to enable candidate themes and demographic options, laying groundwork for improved analytics and faster feature delivery.
2 Commits • 1 Features
Jun 1, 20262026-06 monthly summary for i-dot-ai/consult focused on delivering end-to-end testing improvements and backend data support to strengthen the consultation workflow. The month produced actionable tests, robust fixtures, and backend enhancements to enable candidate themes and demographic options, laying groundwork for improved analytics and faster feature delivery.
June 2026
May 2026
4 Commits • 2 Features
May 1, 2026In May 2026, delivered targeted container deployment and release workflow enhancements for the i-dot-ai/consult repo, enabling per-container image tagging and independent releases to reduce blast radius and improve deployment speed. Expanded infrastructure automation to support service-level deployments, updating release workflows and injecting image tags via parameter store to streamline configurations. Added comprehensive end-to-end tests for user management, including data cleanup and frontend/backend adjustments, along with documentation prerequisites to accelerate onboarding. Hardened deployment workflows to prevent SSM creation errors, decreasing production failures. Demonstrated proficiency with Terraform, AWS ECS, parameter store, GitHub Actions, and test automation, delivering measurable business value through faster releases, stronger data integrity, and improved maintainability.
May 2026
4 Commits • 2 Features
May 1, 2026In May 2026, delivered targeted container deployment and release workflow enhancements for the i-dot-ai/consult repo, enabling per-container image tagging and independent releases to reduce blast radius and improve deployment speed. Expanded infrastructure automation to support service-level deployments, updating release workflows and injecting image tags via parameter store to streamline configurations. Added comprehensive end-to-end tests for user management, including data cleanup and frontend/backend adjustments, along with documentation prerequisites to accelerate onboarding. Hardened deployment workflows to prevent SSM creation errors, decreasing production failures. Demonstrated proficiency with Terraform, AWS ECS, parameter store, GitHub Actions, and test automation, delivering measurable business value through faster releases, stronger data integrity, and improved maintainability.
Activity
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Quality Metrics
Correctness86.6%
Maintainability80.0%
Architecture80.0%
Performance80.0%
AI Usage33.4%
Skills & Technologies
Programming Languages
JavaScriptMarkdownPythonTerraformTypeScriptYAML
Technical Skills
API developmentAWSCI/CDDevOpsDjangoGitHub ActionsInfrastructure as CodePlaywrightTerraformTypeScriptbackend developmentend-to-end testingfrontend development
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline