bcgov/Unity
Feb 2026 – Mar 2026
2 Months active
Languages Used
C#JSONJavaScriptHTML
Technical Skills
AI integrationC#C# developmentESLintEntity FrameworkNode.js
Armin Hasanpour
PROFILE
Armin Hasanpour
Armin Hasanpour developed and integrated AI-driven assessment features for the bcgov/Unity repository over a two-month period, focusing on secure, configurable workflows. He implemented end-to-end AI scoring capabilities, including lifecycle management, permission enforcement, and feature flag gating, using C#, ASP.NET Core, and Entity Framework Core. Armin also enhanced configuration flexibility and observability by adding backend and UI support for AI settings, permissions, and token usage logging. His work emphasized robust unit and integration testing, clear backend/frontend separation, and adherence to coding standards with ESLint. These contributions improved assessment accuracy, governance, and maintainability without introducing major bugs during the period.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
17Total
Bugs
0
Commits
17
Features
4
Lines of code
6,854
Activity Months2
Your Network
169 peopleWork History
March 2026
13 Commits • 2 Features
Mar 1, 2026March 2026 — bcgov/Unity: AI Features for Assessments and Settings Key features delivered: - AI Assessments Lifecycle and Access: end-to-end lifecycle for AI assessments including creation, management, read-only enforcement, prioritization (AI first), cloning, completion state, feature flag gating, and test coverage. Commits highlight handler creation, read-only enforcement, permission checks, clone capability, and unit tests. - AI Settings, Permissions, and Observability: backend and UI configuration for AI scoring settings, permissions model, admin roles seeding, feature checks, and logging of token usage to support governance and cost visibility. Commits show added permission, backend and UI for AI settings, and token count logging. Major bugs fixed: - Tightened read-only enforcement and state transitions; ensured correct permission checks across AI features; expanded unit test coverage for AI lifecycle scenarios; prevented invalid clone scenarios. Overall impact and accomplishments: - Enables secure, auditable AI-driven scoring workflows with configurable settings and observability, reducing manual errors and accelerating AI-enabled decision-making. - Improves maintainability through clear backend/frontend separation for AI settings and scoring, with robust tests and visibility into token usage for governance. Technologies/skills demonstrated: - Backend: feature flags, RBAC/permissions, AI lifecycle APIs, token usage logging. - Frontend: AI settings UI integration with permission gating. - Quality: unit/integration tests and enhanced observability.
13 Commits • 2 Features
Mar 1, 2026March 2026 — bcgov/Unity: AI Features for Assessments and Settings Key features delivered: - AI Assessments Lifecycle and Access: end-to-end lifecycle for AI assessments including creation, management, read-only enforcement, prioritization (AI first), cloning, completion state, feature flag gating, and test coverage. Commits highlight handler creation, read-only enforcement, permission checks, clone capability, and unit tests. - AI Settings, Permissions, and Observability: backend and UI configuration for AI scoring settings, permissions model, admin roles seeding, feature checks, and logging of token usage to support governance and cost visibility. Commits show added permission, backend and UI for AI settings, and token count logging. Major bugs fixed: - Tightened read-only enforcement and state transitions; ensured correct permission checks across AI features; expanded unit test coverage for AI lifecycle scenarios; prevented invalid clone scenarios. Overall impact and accomplishments: - Enables secure, auditable AI-driven scoring workflows with configurable settings and observability, reducing manual errors and accelerating AI-enabled decision-making. - Improves maintainability through clear backend/frontend separation for AI settings and scoring, with robust tests and visibility into token usage for governance. Technologies/skills demonstrated: - Backend: feature flags, RBAC/permissions, AI lifecycle APIs, token usage logging. - Frontend: AI settings UI integration with permission gating. - Quality: unit/integration tests and enhanced observability.
March 2026
February 2026
4 Commits • 2 Features
Feb 1, 2026February 2026 monthly summary for bcgov/Unity. Delivered AI Scoring capability with permissions and added configuration flexibility, plus ESLint integration to improve code quality and team standards. No major bugs fixed this month. Overall impact includes enhanced assessment accuracy, secure, configurable AI features, and improved development workflow.
February 2026
4 Commits • 2 Features
Feb 1, 2026February 2026 monthly summary for bcgov/Unity. Delivered AI Scoring capability with permissions and added configuration flexibility, plus ESLint integration to improve code quality and team standards. No major bugs fixed this month. Overall impact includes enhanced assessment accuracy, secure, configurable AI features, and improved development workflow.
Activity
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Quality Metrics
Correctness93.0%
Maintainability83.6%
Architecture83.6%
Performance83.6%
AI Usage64.6%
Skills & Technologies
Programming Languages
C#HTMLJSONJavaScript
Technical Skills
AI integrationAPI developmentASP.NETASP.NET CoreC#C# developmentESLintEntity FrameworkEntity Framework CoreJSON handlingJavaScriptNode.jsauthorization managementback end developmentbackend development
Repositories Contributed To
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