equinor/acidwatch
Nov 2024 – Feb 2025
2 Months active
Languages Used
CSSDockerfileHTMLJavaScriptPythonTypeScriptYAMLyaml
Technical Skills
API IntegrationCSSConfiguration ManagementContainerizationData VisualizationDevOps
Harald Eggen
PROFILE
Harald Eggen
Harald Eggen developed and refined the ARCS Simulation Platform within the equinor/acidwatch repository, delivering a frontend for simulation results visualization and automating Radix-based deployment pipelines. He implemented robust environment configuration and containerization using Docker and Nginx, ensuring reliable production and scalable staging environments. In February 2025, Harald integrated a new getLabResults API and refactored the ResultsPage, moving token authentication to the API layer for improved maintainability and testability. His work demonstrated strong skills in React, TypeScript, and API integration, providing end-to-end feature delivery and infrastructure stability that accelerated time-to-value and reduced operational risk for the platform.
Overall Statistics
Feature vs Bugs
75%Features
Repository Contributions
11Total
Bugs
1
Commits
11
Features
3
Lines of code
10,522
Activity Months2
Work History
February 2025
1 Commits • 1 Features
Feb 1, 2025February 2025: Delivered Lab Results API Integration and UI Refactor for the equinor/acidwatch repository. Implemented a new getLabResults API function and migrated token authentication logic from the UI layer to the API layer, enabling clearer separation of concerns, more reliable lab result retrieval, and easier testing. The UI was updated to consume the new API, simplifying the ResultsPage and improving maintainability. The work was completed under the Refactor initiative (commit 482b543b6f5a0cedfd1511e7f171488ab668bf55).
1 Commits • 1 Features
Feb 1, 2025February 2025: Delivered Lab Results API Integration and UI Refactor for the equinor/acidwatch repository. Implemented a new getLabResults API function and migrated token authentication logic from the UI layer to the API layer, enabling clearer separation of concerns, more reliable lab result retrieval, and easier testing. The UI was updated to consume the new API, simplifying the ResultsPage and improving maintainability. The work was completed under the Refactor initiative (commit 482b543b6f5a0cedfd1511e7f171488ab668bf55).
February 2025
November 2024
10 Commits • 2 Features
Nov 1, 2024Month: 2024-11 — Focused on delivering a functional ARCS Simulation Platform and stabilizing deployment infrastructure to enable reliable production and scalable staging. Key deliverables: - ARCS Simulation Platform frontend: Implemented UI and results visualization, wired frontend calls to ARCS backend to surface simulation results (commits: 93e31a03f104ddb2ecd67cfd3680253bfb70d17c; 57d72a4993920453426b6cd6b3aaeb80932a2e50; 12de2336372a1e92eed284fbf1eb5bffb57a3ae4). - Deployment & Environment configuration: Radix-based deployment, environment config, and helper scripts enabling consistent, automated deployments (commits: 721e834803cbd523d5896e4d58d7e49688fbe497; 897426f3a04eec8ea70f2468d13632c8ea74390d; 83135e8bd0926a2d9f17fced3b2ecf88521cc351; 7cfab2952de5069173447ff8046a0643010d685e). - Infrastructure bug fixes for ARCS platform: Resolved packaging and runtime issues to stabilize deployments (commits: 6e621b5efdd624d6d9190de73c2ab1d6f407e1fd; ae1d3b4e9179dc71e4a80afc58fea37ac0d506dc; 9e9399974500b1d4d15da3916ca5d778f4cf1a67). - Runtime environment reliability: Addressed environment variable handling and ensured env is injected on page load (commit: 7cfab2952de5069173447ff8046a0643010d685e). Overall impact: - Business value: Accelerated time-to-value for ARCS simulations through a usable frontend, while stabilizing deployment pipelines to reduce downtime and operational risk. The Radix-driven deployment and environment scripts lay groundwork for scalable, repeatable releases. - Technical accomplishments: End-to-end feature delivery from UI to backend, robust environment/config management, and targeted infrastructure fixes that improve packaging, variable handling, and runtime configuration. Technologies and skills demonstrated: - Frontend/UI development and API integration for data visualization - Deployment automation and environment configuration (Radix, env vars, helper scripts) - Infrastructure stability: packaging, Nginx configuration, and runtime env handling - Debugging and incremental delivery of features with clear traceability to commits
November 2024
10 Commits • 2 Features
Nov 1, 2024Month: 2024-11 — Focused on delivering a functional ARCS Simulation Platform and stabilizing deployment infrastructure to enable reliable production and scalable staging. Key deliverables: - ARCS Simulation Platform frontend: Implemented UI and results visualization, wired frontend calls to ARCS backend to surface simulation results (commits: 93e31a03f104ddb2ecd67cfd3680253bfb70d17c; 57d72a4993920453426b6cd6b3aaeb80932a2e50; 12de2336372a1e92eed284fbf1eb5bffb57a3ae4). - Deployment & Environment configuration: Radix-based deployment, environment config, and helper scripts enabling consistent, automated deployments (commits: 721e834803cbd523d5896e4d58d7e49688fbe497; 897426f3a04eec8ea70f2468d13632c8ea74390d; 83135e8bd0926a2d9f17fced3b2ecf88521cc351; 7cfab2952de5069173447ff8046a0643010d685e). - Infrastructure bug fixes for ARCS platform: Resolved packaging and runtime issues to stabilize deployments (commits: 6e621b5efdd624d6d9190de73c2ab1d6f407e1fd; ae1d3b4e9179dc71e4a80afc58fea37ac0d506dc; 9e9399974500b1d4d15da3916ca5d778f4cf1a67). - Runtime environment reliability: Addressed environment variable handling and ensured env is injected on page load (commit: 7cfab2952de5069173447ff8046a0643010d685e). Overall impact: - Business value: Accelerated time-to-value for ARCS simulations through a usable frontend, while stabilizing deployment pipelines to reduce downtime and operational risk. The Radix-driven deployment and environment scripts lay groundwork for scalable, repeatable releases. - Technical accomplishments: End-to-end feature delivery from UI to backend, robust environment/config management, and targeted infrastructure fixes that improve packaging, variable handling, and runtime configuration. Technologies and skills demonstrated: - Frontend/UI development and API integration for data visualization - Deployment automation and environment configuration (Radix, env vars, helper scripts) - Infrastructure stability: packaging, Nginx configuration, and runtime env handling - Debugging and incremental delivery of features with clear traceability to commits
Activity
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Quality Metrics
Correctness81.8%
Maintainability85.4%
Architecture81.8%
Performance80.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
CSSDockerfileHTMLJavaScriptPythonTypeScriptYAMLyaml
Technical Skills
API IntegrationCSSConfiguration ManagementContainerizationData VisualizationDevOpsDockerESLintEnvironment VariablesFrontend DevelopmentHTMLJavaScriptMSALNginxRadix
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