
Sunil Rochani contributed to the hmcts/prl-cos-api and related repositories by delivering features and fixes that improved document workflows, order processing, and environment stability across PRL services. He implemented robust API endpoints, feature flagging, and DMN-driven task automation using Java and Spring Boot, focusing on secure data handling and configuration management. His work included building backend services for reviewing applications, automating hearing workflows, and enhancing barrister management, while addressing data privacy by filtering redacted documents from sensitive API responses. Sunil’s disciplined approach emphasized test-driven development, CI/CD alignment, and maintainable code, resulting in reliable, scalable backend solutions for complex legal workflows.

October 2025: Focused on data privacy and API integrity for hmcts/prl-cos-api. Delivered a critical data-leak fix by excluding redacted Cafcass documents from API responses, reinforced through a constant-driven filtering approach. This change improves privacy compliance, reduces risk of exposure, and strengthens the API's trustworthiness. Key tech patterns included constant-based filtering, secure data handling, and Git-based collaboration on a high-sensitivity data path.
October 2025: Focused on data privacy and API integrity for hmcts/prl-cos-api. Delivered a critical data-leak fix by excluding redacted Cafcass documents from API responses, reinforced through a constant-driven filtering approach. This change improves privacy compliance, reduces risk of exposure, and strengthens the API's trustworthiness. Key tech patterns included constant-based filtering, secure data handling, and Git-based collaboration on a high-sensitivity data path.
September 2025 delivered cross-repo improvements focused on notification delivery, end-to-end Barrister allocation, and deployment/environment standardization. Implemented Barrister Notifications with a feature flag and updated service URLs to enable the new notification flow, aligning PRL COS image/config to support the rollout. Completed end-to-end barrister allocation enhancements including add/remove flows, data integrity fixes, and consolidation of barrister data under solicitor details to streamline allocations. Standardized deployment and environment configurations across PRL COS, PRL CCD definitions, and related services by pointing the CCD data store API to master, using the latest images, and aligning preview/master configurations. Implemented environment alignment for preview services to master with updated API URLs, endpoints, and templates to reduce drift. These changes improved reliability, reduced deployment risk, and accelerated feature delivery across the PRL platform.
September 2025 delivered cross-repo improvements focused on notification delivery, end-to-end Barrister allocation, and deployment/environment standardization. Implemented Barrister Notifications with a feature flag and updated service URLs to enable the new notification flow, aligning PRL COS image/config to support the rollout. Completed end-to-end barrister allocation enhancements including add/remove flows, data integrity fixes, and consolidation of barrister data under solicitor details to streamline allocations. Standardized deployment and environment configurations across PRL COS, PRL CCD definitions, and related services by pointing the CCD data store API to master, using the latest images, and aligning preview/master configurations. Implemented environment alignment for preview services to master with updated API URLs, endpoints, and templates to reduce drift. These changes improved reliability, reduced deployment risk, and accelerated feature delivery across the PRL platform.
In August 2025, progress across PRL services focused on stabilizing environments, enabling safer feature rollouts, and delivering user-impact features. Highlights span DGS, COS, and CCD definitions, delivering a critical bug fix for document template resolution, a new feature flag framework, and dynamic preview configurations that improve release velocity and reliability. These changes reduce production risk, improve configuration manageability, and empower faster, more controlled deployments across environments.
In August 2025, progress across PRL services focused on stabilizing environments, enabling safer feature rollouts, and delivering user-impact features. Highlights span DGS, COS, and CCD definitions, delivering a critical bug fix for document template resolution, a new feature flag framework, and dynamic preview configurations that improve release velocity and reliability. These changes reduce production risk, improve configuration manageability, and empower faster, more controlled deployments across environments.
July 2025 focused on delivering the Edit and Serve an Order capability, stabilizing the hearing workflow, and strengthening task management across three repos. The work enabled faster, safer feature rollouts and improved reliability of order processing and related tasks.
July 2025 focused on delivering the Edit and Serve an Order capability, stabilizing the hearing workflow, and strengthening task management across three repos. The work enabled faster, safer feature rollouts and improved reliability of order processing and related tasks.
June 2025 delivered targeted backend and environment improvements across three repos, delivering business value through improved preview readiness, new application review capabilities, and stronger data integrity. Key outcomes include aligning the preview environment with the latest CCD data store API and prl-cos image, and syncing CI/CD with the master DMN branch; implementing the Review Additional Application feature with backend controllers/services and functional tests; enabling a new Review Additional Applications Task workflow; aligning preview configurations with stable service endpoints; and hardening case flag handling with a robust data map and test coverage. These changes reduce deployment risk, accelerate processing of additional applications, and demonstrate proficiency in Java/Spring backend, DMN integration, REST design, test-driven development, and CI/CD discipline. Note: brace-expansion vulnerability in yarn-audit-known-issues was identified and tracked for mitigation.
June 2025 delivered targeted backend and environment improvements across three repos, delivering business value through improved preview readiness, new application review capabilities, and stronger data integrity. Key outcomes include aligning the preview environment with the latest CCD data store API and prl-cos image, and syncing CI/CD with the master DMN branch; implementing the Review Additional Application feature with backend controllers/services and functional tests; enabling a new Review Additional Applications Task workflow; aligning preview configurations with stable service endpoints; and hardening case flag handling with a robust data map and test coverage. These changes reduce deployment risk, accelerate processing of additional applications, and demonstrate proficiency in Java/Spring backend, DMN integration, REST design, test-driven development, and CI/CD discipline. Note: brace-expansion vulnerability in yarn-audit-known-issues was identified and tracked for mitigation.
Month: 2025-05 — Performance review-ready monthly summary for the hmcts/prl-wa-task-configuration workstream. Focused on delivering business-value features, fixing permission-mapping issues, and strengthening test coverage around Gatekeeper task routing.
Month: 2025-05 — Performance review-ready monthly summary for the hmcts/prl-wa-task-configuration workstream. Focused on delivering business-value features, fixing permission-mapping issues, and strengthening test coverage around Gatekeeper task routing.
April 2025 monthly summary: Key reliability and data-capture improvements across PRL services. Delivered a set of coordinated backend and UI changes across cos-api, wa-task-configuration, and CCD definitions that improved reliability, data capture accuracy, and security posture. Notable outcomes include a robust Hearing Actuals update service with de-duplication and improved endpoint resolution, capture of Judge title in Upload Order flows, removal of a DMN callback to fix court issuance, deployment configuration hardening, and UI enhancements to support accurate order data entry. These changes reduce operational risk, accelerate order processing, and demonstrate effective cross-team collaboration across services, DMN, and UI layers. Technologies leveraged include Java/Kotlin back-end services, DMN workflow, Docker-based deployments, and security vulnerability remediation.
April 2025 monthly summary: Key reliability and data-capture improvements across PRL services. Delivered a set of coordinated backend and UI changes across cos-api, wa-task-configuration, and CCD definitions that improved reliability, data capture accuracy, and security posture. Notable outcomes include a robust Hearing Actuals update service with de-duplication and improved endpoint resolution, capture of Judge title in Upload Order flows, removal of a DMN callback to fix court issuance, deployment configuration hardening, and UI enhancements to support accurate order data entry. These changes reduce operational risk, accelerate order processing, and demonstrate effective cross-team collaboration across services, DMN, and UI layers. Technologies leveraged include Java/Kotlin back-end services, DMN workflow, Docker-based deployments, and security vulnerability remediation.
March 2025 highlights across hmcts PRL services: Delivered a new document copy workflow, improved document upload handling, stabilized test and environment, and strengthened court issuance processes. Implemented /copy-manage-docs endpoint and updated copying logic in ManageDocumentsService, aligning with FPVTL-77 changes. Fixed respondent C1A document handling by classifying uploads as respondent statements, reducing portal errors. Captured and persisted submission dates for paid HWF cases to reflect accurate status. Reverted FPVTL-77 test fix and updated service endpoints and Docker image tags to stabilize environments. Implemented Local Court issuance callback in DMN flow to ensure proper issuance and sending to local court. These changes improved data accuracy, reliability, and end-to-end processing.
March 2025 highlights across hmcts PRL services: Delivered a new document copy workflow, improved document upload handling, stabilized test and environment, and strengthened court issuance processes. Implemented /copy-manage-docs endpoint and updated copying logic in ManageDocumentsService, aligning with FPVTL-77 changes. Fixed respondent C1A document handling by classifying uploads as respondent statements, reducing portal errors. Captured and persisted submission dates for paid HWF cases to reflect accurate status. Reverted FPVTL-77 test fix and updated service endpoints and Docker image tags to stabilize environments. Implemented Local Court issuance callback in DMN flow to ensure proper issuance and sending to local court. These changes improved data accuracy, reliability, and end-to-end processing.
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