
Geir Andre Lund developed and maintained the navikt/dp-behandling backend, focusing on robust benefit calculation, meldekort processing, and rule engine integration. He engineered features such as period-based eligibility, quota tracking, and simulation APIs, using Kotlin, Java, and PostgreSQL to ensure data accuracy and reliable payouts. His work included modernizing data models, implementing event-driven architecture, and enhancing observability through structured logging and audit trails. By introducing access control, test automation, and CI/CD improvements, Geir delivered a maintainable, production-ready system. His technical depth is reflected in iterative refactoring, scenario-based testing, and careful handling of edge cases to support business-critical workflows.

October 2025 – Performance and quality momentum for navikt/dp-behandling focused on building foundations for period-based vilkår, security and auditability, data correctness, and deployment discipline. Major work spanned PoCs for periodisering of vilkår and for Behandlingsresultat v2, security enhancements for meldekort handling, and improvements to logging, auditing, and test coverage. Several stabilization fixes and validation hardening lowered risk ahead of production rollout, while ongoing WIP efforts for reop with no fagsakId and resumption rule-sets set the stage for next milestones.
October 2025 – Performance and quality momentum for navikt/dp-behandling focused on building foundations for period-based vilkår, security and auditability, data correctness, and deployment discipline. Major work spanned PoCs for periodisering of vilkår and for Behandlingsresultat v2, security enhancements for meldekort handling, and improvements to logging, auditing, and test coverage. Several stabilization fixes and validation hardening lowered risk ahead of production rollout, while ongoing WIP efforts for reop with no fagsakId and resumption rule-sets set the stage for next milestones.
September 2025 - navikt/dp-behandling: Key features delivered, bug fixes, and reliability improvements that directly enhance payout accuracy, observability, and developer velocity. Focused on meldekort processing improvements, deterministic data handling, and expanded test coverage to support production-ready scenarios.
September 2025 - navikt/dp-behandling: Key features delivered, bug fixes, and reliability improvements that directly enhance payout accuracy, observability, and developer velocity. Focused on meldekort processing improvements, deterministic data handling, and expanded test coverage to support production-ready scenarios.
August 2025 — navikt/dp-behandling: Security, reliability, and business-value improvements with a strong push on access control, observability, and meldekort calculations, while stabilizing deployments and modernizing the build and packaging pipeline. Key features and fixes delivered include machine-token access control and vedtakstilgang, significant refactoring for idtyp naming, memory/CPU tuning to support higher load, and a Gradle 9.x upgrade with packaging modernization. Observability was enhanced through tracing and logging, with JMX-based debugging instrumentation and iterative tuning of resources. Meldekort calculations were clarified with additional verifications, improved rounding, and expanded scenario-based testing. Several stability and QA improvements were addressed, including loop avoidance, weekend workload fixes, test stability, and publishing cucumber reports. Also added support for rejecting cases due to disqualification and performed code cleanup (e.g., removing unused imports). These changes reduce deployment risk, improve security and compliance, and enable more accurate payouts and reporting.
August 2025 — navikt/dp-behandling: Security, reliability, and business-value improvements with a strong push on access control, observability, and meldekort calculations, while stabilizing deployments and modernizing the build and packaging pipeline. Key features and fixes delivered include machine-token access control and vedtakstilgang, significant refactoring for idtyp naming, memory/CPU tuning to support higher load, and a Gradle 9.x upgrade with packaging modernization. Observability was enhanced through tracing and logging, with JMX-based debugging instrumentation and iterative tuning of resources. Meldekort calculations were clarified with additional verifications, improved rounding, and expanded scenario-based testing. Several stability and QA improvements were addressed, including loop avoidance, weekend workload fixes, test stability, and publishing cucumber reports. Also added support for rejecting cases due to disqualification and performed code cleanup (e.g., removing unused imports). These changes reduce deployment risk, improve security and compliance, and enable more accurate payouts and reporting.
July 2025 dp-behandling monthly summary focusing on delivering business value through data model improvements, performance enhancements, and enhanced deployment/observability capabilities. Key outcomes include a forward-compatible Meldekort data model, reduced DB connection churn during recursive fetches, faster and safer dev testing, and improved observability and cost efficiency across the NAIS stack.
July 2025 dp-behandling monthly summary focusing on delivering business value through data model improvements, performance enhancements, and enhanced deployment/observability capabilities. Key outcomes include a forward-compatible Meldekort data model, reduced DB connection churn during recursive fetches, faster and safer dev testing, and improved observability and cost efficiency across the NAIS stack.
June 2025 (navikt/dp-behandling) focused on reliability, traceability, and data correctness. Delivered enhanced observability, data model extensions, and robust skipping logic to reduce unnecessary processing. Implemented event-driven hooks and stabilized tests to support a more predictable release cadence and improved business outcomes.
June 2025 (navikt/dp-behandling) focused on reliability, traceability, and data correctness. Delivered enhanced observability, data model extensions, and robust skipping logic to reduce unnecessary processing. Implemented event-driven hooks and stabilized tests to support a more predictable release cadence and improved business outcomes.
May 2025 performance summary for dp-soknad and dp-behandling. Delivered targeted backend improvements and stability enhancements that increase processing throughput, reduce unnecessary work, and strengthen data governance, with tangible business value in faster form processing and safer treatment workflows.
May 2025 performance summary for dp-soknad and dp-behandling. Delivered targeted backend improvements and stability enhancements that increase processing throughput, reduce unnecessary work, and strengthen data governance, with tangible business value in faster form processing and safer treatment workflows.
April 2025 monthly summary for navikt/dp-behandling focusing on feature delivery, reliability, and technical debt reduction. Delivered core Meldekort enhancements, stabilized API contracts, improved observability, and completed key infrastructure and quality initiatives to boost data accuracy, reliability, and developer velocity.
April 2025 monthly summary for navikt/dp-behandling focusing on feature delivery, reliability, and technical debt reduction. Delivered core Meldekort enhancements, stabilized API contracts, improved observability, and completed key infrastructure and quality initiatives to boost data accuracy, reliability, and developer velocity.
March 2025 performance for navikt/dp-behandling focused on delivering high-value features, stabilizing core data flows, and strengthening deployment readiness. Key outcomes include a graph-based rule tree representation for dagpenger with GraphQL insert queries into GraphDB, enabling faster rule evaluation and easier regelverk population; Meldekort persistence and event handling with accompanying tests to ensure data integrity and reliable event processing; mapping of Aktivitetstype from RAMP data to internal representations to improve data consistency; ISO 8601 duration formatting using Kotlin Duration to improve interoperability; and a set of Meldekort lifecycle improvements including initial processing logic, queueing, and processing state tracking. Additional gains include namespace migration to nais for cloud alignment, startup initialization of business processes and information types, and deployment lifecycle tooling (Gradle 8.13) with dev deployments and rollback. Security logging for Meldekort and code-quality improvements (ktlint) further enhanced observability and maintainability.
March 2025 performance for navikt/dp-behandling focused on delivering high-value features, stabilizing core data flows, and strengthening deployment readiness. Key outcomes include a graph-based rule tree representation for dagpenger with GraphQL insert queries into GraphDB, enabling faster rule evaluation and easier regelverk population; Meldekort persistence and event handling with accompanying tests to ensure data integrity and reliable event processing; mapping of Aktivitetstype from RAMP data to internal representations to improve data consistency; ISO 8601 duration formatting using Kotlin Duration to improve interoperability; and a set of Meldekort lifecycle improvements including initial processing logic, queueing, and processing state tracking. Additional gains include namespace migration to nais for cloud alignment, startup initialization of business processes and information types, and deployment lifecycle tooling (Gradle 8.13) with dev deployments and rollback. Security logging for Meldekort and code-quality improvements (ktlint) further enhanced observability and maintainability.
February 2025 monthly summary for navikt/dp-behandling. Focused on delivering business value through testable permittering workflows, data integrity, observability, and API stability. Key efforts included enabling permittering test data, hardening time calculations, improving logging and Vedtak flow, upgrading container base image, and generating the OpenAPI spec, alongside CI/tooling migrations and cleanup.
February 2025 monthly summary for navikt/dp-behandling. Focused on delivering business value through testable permittering workflows, data integrity, observability, and API stability. Key efforts included enabling permittering test data, hardening time calculations, improving logging and Vedtak flow, upgrading container base image, and generating the OpenAPI spec, alongside CI/tooling migrations and cleanup.
January 2025 (2025-01) focused on stabilizing core deployment, expanding observability, and modernizing data models to accelerate delivery and improve reliability. Delivered a robust development deployment workflow with batch deployment support and rollback capability, enabling safer releases to the dev environment and smoother migrations via recreate/deploy strategies. Strengthened debugging and observability: added detailed logging for decision creation, and expanded rule execution traces to improve diagnosis and auditability. Improved rule reliability and stability through order-insensitive dependency comparisons and a temporary safeguard that re-evaluated the rule tree on clarifications (with a later rollback to restore long-term stability). Modernized data model and APIs with opplysningTypeId, UUID-based opplysningstype, and health-eligibility text; updated related SakRepository tests for better integration. Enhanced performance and safety: database indexing for opplysninger_opplysning, hourly deletion scheduling, and strengthened safety controls for deletions. Also delivered code quality improvements (ktlint fixes, cleanup, removal of deprecated constructors) to reduce technical debt and ease future maintenance.
January 2025 (2025-01) focused on stabilizing core deployment, expanding observability, and modernizing data models to accelerate delivery and improve reliability. Delivered a robust development deployment workflow with batch deployment support and rollback capability, enabling safer releases to the dev environment and smoother migrations via recreate/deploy strategies. Strengthened debugging and observability: added detailed logging for decision creation, and expanded rule execution traces to improve diagnosis and auditability. Improved rule reliability and stability through order-insensitive dependency comparisons and a temporary safeguard that re-evaluated the rule tree on clarifications (with a later rollback to restore long-term stability). Modernized data model and APIs with opplysningTypeId, UUID-based opplysningstype, and health-eligibility text; updated related SakRepository tests for better integration. Enhanced performance and safety: database indexing for opplysninger_opplysning, hourly deletion scheduling, and strengthened safety controls for deletions. Also delivered code quality improvements (ktlint fixes, cleanup, removal of deprecated constructors) to reduce technical debt and ease future maintenance.
December 2024 performance highlights across dp-behandling and dp-soknad focused on safer data management, traceability, reliability, and deployment discipline. Delivered business-value outcomes through safer deletion workflows, improved logging and observability, policy rule updates for eligibility and benefits, reliability improvements for background processing and messaging, and robust state-tracking. These efforts reduce risk, improve regulatory compliance, and enable faster, more predictable delivery across environments.
December 2024 performance highlights across dp-behandling and dp-soknad focused on safer data management, traceability, reliability, and deployment discipline. Delivered business-value outcomes through safer deletion workflows, improved logging and observability, policy rule updates for eligibility and benefits, reliability improvements for background processing and messaging, and robust state-tracking. These efforts reduce risk, improve regulatory compliance, and enable faster, more predictable delivery across environments.
November 2024 performance snapshot focusing on reliability, observability, and policy-driven coordination across dp-behandling, dp-behov-soknad-pdf, and dp-behov-journalforing. Delivered actionable debugging capabilities, data-correctness improvements, and a groundwork for rule-based coordination, while stabilizing dependencies and CI/CD. The month emphasized business value through safer production operations, faster incident response, and clearer API semantics for clarifications.
November 2024 performance snapshot focusing on reliability, observability, and policy-driven coordination across dp-behandling, dp-behov-soknad-pdf, and dp-behov-journalforing. Delivered actionable debugging capabilities, data-correctness improvements, and a groundwork for rule-based coordination, while stabilizing dependencies and CI/CD. The month emphasized business value through safer production operations, faster incident response, and clearer API semantics for clarifications.
Overview of all repositories you've contributed to across your timeline