
Goni developed and maintained core backend features for the Skyhwk/lumen-v3 repository, focusing on environmental data processing, emissions modeling, and workflow automation. Over seven months, Goni delivered robust modules for emissions calculations, isokinetic sampling, and billing workflows, integrating technologies such as PHP, Laravel, and SQL. The work included optimizing database queries, implementing Excel export and email notification features, and enhancing data validation and error handling. By refining approval flows, automating reporting, and supporting regulatory compliance, Goni improved data integrity and operational efficiency. The engineering approach emphasized maintainability, cross-system integration, and scalable analytics, resulting in a reliable, extensible backend platform.
February 2026 was a productive sprint for Skyhwk/lumen-v3, delivering core enhancements to billing workflows and PSKL form management while stabilizing critical billing data processes.
February 2026 was a productive sprint for Skyhwk/lumen-v3, delivering core enhancements to billing workflows and PSKL form management while stabilizing critical billing data processes.
January 2026 performance summary for Skyhwk/lumen-v3. Focused on delivering financial workflow enhancements, data integrity improvements, and analytics capabilities, while stabilizing operations through targeted bug fixes. Key features delivered included invoicing improvements with external fee integration and approvals, enhanced test result replacement logic, and new analytics/export capabilities. Significant workflow updates and environment/measurement approvals strengthened compliance and operational control.
January 2026 performance summary for Skyhwk/lumen-v3. Focused on delivering financial workflow enhancements, data integrity improvements, and analytics capabilities, while stabilizing operations through targeted bug fixes. Key features delivered included invoicing improvements with external fee integration and approvals, enhanced test result replacement logic, and new analytics/export capabilities. Significant workflow updates and environment/measurement approvals strengthened compliance and operational control.
December 2025: Delivered a robust set of features and fixes for Skyhwk/lumen-v3, focused on data quality, workflow automation, and environmental analytics. Key contributions include isokinetic approval workflow, ergonomic calculations with endpoint integration and tests, Gotrak integration, and broad data enrichment (Category 3, noise sample type, microbiology air quality category, sampling date). Emissions tracking/modeling work complemented by Harold notes and email history capture. Several stability and correctness fixes improved reliability and maintainability, alongside features for hygiene UI, ULK dust handling, and invoicing. This work strengthens regulatory readiness, cross-system interoperability, and business decision support while expanding the platform’s analytics capabilities.
December 2025: Delivered a robust set of features and fixes for Skyhwk/lumen-v3, focused on data quality, workflow automation, and environmental analytics. Key contributions include isokinetic approval workflow, ergonomic calculations with endpoint integration and tests, Gotrak integration, and broad data enrichment (Category 3, noise sample type, microbiology air quality category, sampling date). Emissions tracking/modeling work complemented by Harold notes and email history capture. Several stability and correctness fixes improved reliability and maintainability, alongside features for hygiene UI, ULK dust handling, and invoicing. This work strengthens regulatory readiness, cross-system interoperability, and business decision support while expanding the platform’s analytics capabilities.
Month: 2025-11 | Skyhwk/lumen-v3 – Performance Review Summary Overview: November 2025 delivered a substantial upgrade to core emission calculation capabilities, expanded particulate and direct-emission modeling, and hardened data pipelines and service outputs. The work stabilized critical paths, improved data quality for reporting, QA, and regulatory compliance, and set a stronger foundation for scalable future enhancements. Key features delivered: - Core Emission Calculation Updates: refined direct PM formulas, direct udara calculations, isokinetic sampling method, HCHO/H2CO handling, and parameter updates (LM field, corrections). - Particulate Emission Modeling Updates: particulate-specific calculations and parameter handling, including 24-hour PM parameter support. - Direct Emission Monitoring and Isokinetic Enhancements: implemented/updated direct stack emission measurement, isokinetic method 6 support, and approvals; saved results to header/workbook values; finalized web service outputs for LK and udara LH/LK. - Web Service and LH/LK Updates: finalized web service outputs for LK and udara LH/LK; updated ws outputs; added LH/LK direct PM support; LHP template added/updated. - QA, Templates and Data Standards: finalized LHP template; isokinetic QC finalization; survey data updates; Medan magnet LM QC enhancements; and workplace environment improvements. Major bugs fixed: - Removed unintended 'dd' in the emission calculation path to restore correct behavior. - Cleanup of direct sampling numbers and subcontract input parameters; improved data cleanup stability. - Order status tracking corrections; noise handling fixes across FDL components; direct Lain error handling improvements. - Microbiology workflow rejection handling improvements. Overall impact and accomplishments: - Significantly improved emission calculation accuracy and reporting reliability for regulatory and client-facing reports. - Strengthened data pipelines and WS/LH outputs, reducing manual reconciliation and accelerating QA cycles. - Enhanced compliance readiness through ISO terminology alignment, invoice status verification, and robust approval workflows. - Demonstrated end-to-end capabilities across core modeling, data management, and service delivery, enabling scalable future work. Technologies/skills demonstrated: - Isokinetic/ISO measurement modules; direct emission modeling; HCHO/H2CO handling; 24-hour PM parameter support. - Data modeling and parameter management; WS/LH API integration; workflow approvals and QA automation. - Cross-module collaboration, code hygiene, and rapid bug triage with substantial commit activity.
Month: 2025-11 | Skyhwk/lumen-v3 – Performance Review Summary Overview: November 2025 delivered a substantial upgrade to core emission calculation capabilities, expanded particulate and direct-emission modeling, and hardened data pipelines and service outputs. The work stabilized critical paths, improved data quality for reporting, QA, and regulatory compliance, and set a stronger foundation for scalable future enhancements. Key features delivered: - Core Emission Calculation Updates: refined direct PM formulas, direct udara calculations, isokinetic sampling method, HCHO/H2CO handling, and parameter updates (LM field, corrections). - Particulate Emission Modeling Updates: particulate-specific calculations and parameter handling, including 24-hour PM parameter support. - Direct Emission Monitoring and Isokinetic Enhancements: implemented/updated direct stack emission measurement, isokinetic method 6 support, and approvals; saved results to header/workbook values; finalized web service outputs for LK and udara LH/LK. - Web Service and LH/LK Updates: finalized web service outputs for LK and udara LH/LK; updated ws outputs; added LH/LK direct PM support; LHP template added/updated. - QA, Templates and Data Standards: finalized LHP template; isokinetic QC finalization; survey data updates; Medan magnet LM QC enhancements; and workplace environment improvements. Major bugs fixed: - Removed unintended 'dd' in the emission calculation path to restore correct behavior. - Cleanup of direct sampling numbers and subcontract input parameters; improved data cleanup stability. - Order status tracking corrections; noise handling fixes across FDL components; direct Lain error handling improvements. - Microbiology workflow rejection handling improvements. Overall impact and accomplishments: - Significantly improved emission calculation accuracy and reporting reliability for regulatory and client-facing reports. - Strengthened data pipelines and WS/LH outputs, reducing manual reconciliation and accelerating QA cycles. - Enhanced compliance readiness through ISO terminology alignment, invoice status verification, and robust approval workflows. - Demonstrated end-to-end capabilities across core modeling, data management, and service delivery, enabling scalable future work. Technologies/skills demonstrated: - Isokinetic/ISO measurement modules; direct emission modeling; HCHO/H2CO handling; 24-hour PM parameter support. - Data modeling and parameter management; WS/LH API integration; workflow approvals and QA automation. - Cross-module collaboration, code hygiene, and rapid bug triage with substantial commit activity.
October 2025 (Skyhwk/lumen-v3) delivered a set of robust emissions, data modeling, and reliability enhancements that improve regulatory readiness, decision quality, and product scalability. Key features and migrations were paired with targeted stability fixes and documentation updates to streamline compliance and operations. The month focused on refining emissions data handling, expanding personalized data analytics, and tightening data quality controls across the stack, while also cleaning up legacy modules for a leaner architecture.
October 2025 (Skyhwk/lumen-v3) delivered a set of robust emissions, data modeling, and reliability enhancements that improve regulatory readiness, decision quality, and product scalability. Key features and migrations were paired with targeted stability fixes and documentation updates to streamline compliance and operations. The month focused on refining emissions data handling, expanding personalized data analytics, and tightening data quality controls across the stack, while also cleaning up legacy modules for a leaner architecture.
September 2025 monthly summary for Skyhwk/lumen-v3: Delivered core features across emissions, ergonomics, app ecosystem, and data processing, while strengthening backend integration and data quality. The work focused on business value through improved emissions accuracy, expanded app capabilities, and robust data workflows, enabling faster feature rollouts and regulatory-ready reporting.
September 2025 monthly summary for Skyhwk/lumen-v3: Delivered core features across emissions, ergonomics, app ecosystem, and data processing, while strengthening backend integration and data quality. The work focused on business value through improved emissions accuracy, expanded app capabilities, and robust data workflows, enabling faster feature rollouts and regulatory-ready reporting.
August 2025 was focused on strengthening data reliability, expanding analytics capabilities, and improving operational UX across Skyhwk/lumen-v3. Key features delivered include robust environmental data processing with consolidated calculations and enhanced air-quality measurements; broader isokinetic data handling for deeper measurement windows; and expanded vehicle emissions data capture with refined parameter matching. A targeted bug fix improved ergonomics data retrieval with clearer error messages, reducing user friction. These efforts delivered higher data accuracy, improved reporting and compliance readiness, and a foundation for scalable analytics across environmental, ergonomics, and emissions domains.
August 2025 was focused on strengthening data reliability, expanding analytics capabilities, and improving operational UX across Skyhwk/lumen-v3. Key features delivered include robust environmental data processing with consolidated calculations and enhanced air-quality measurements; broader isokinetic data handling for deeper measurement windows; and expanded vehicle emissions data capture with refined parameter matching. A targeted bug fix improved ergonomics data retrieval with clearer error messages, reducing user friction. These efforts delivered higher data accuracy, improved reporting and compliance readiness, and a foundation for scalable analytics across environmental, ergonomics, and emissions domains.

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