A lightweight, agnostic automation ecosystem validating 628 requirements and 7,689 test cases, achieving 95% automation coverage and 25x faster release cycles with consolidated Tableau reporting.
Client
Global health coaching and certification organization
Goal
To develop a test automation framework core across multiple applications with consolidated tableau dashboards for reporting
Tools and Technologies
Selenium, Java, REST Assured, Azure API Management, Docker, Tableau, Jira, Git
Business Challenge
The client used a technology stack comprising different applications without employing automated testing. This resulted in scattered reporting across the stack and made it difficult to validate end-to-end business flows. Rigorous testing was required to ensure quality, security, and compliance.
The aim was to develop a core test automation framework with common utilities and support for UI, API, mobile and Salesforce applications and consolidated Tableau dashboards for reporting and greater efficiency, security and compliance.
Solution
- Developed an in-house agnostic test framework (core) to support UI, API, mobile and Salesforce applications
- Built common utilities in core framework for enterprise and application layers
- Ensured parallel and cross browser testing, flaky tests handling and inbuilt retry logic
- Identified E2E business flows to validate downstream impact
- Implemented a lightweight test automation ecosystem
- Integrated DevOps using AWS
- Leveraged Selenium for script development
Outcomes
- Developed a common framework to support all applications
- Covered 628 business requirements and created/executed 7,689 test cases
- Delivered a 25x faster release cycle that required minimal maintenance
- Speed up script development by 4x
- Automated ~95% of coverage
- Enhanced efficiency in reporting through consolidated tableau dashboards
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Scalable platform for learning and engagement boosters
Built a scalable learning center platform with microservices and LMS plug-ins, achieving 99.99% uptime, 70% higher engagement, and 50% less manual effort.
Client
A global health coaching and certification organization
Goal
Re-architect the existing platform, improve user experience and boost student engagement, retention, and graduation rates
Tools and Technologies
AWS CloudFront, AWS CloudWatch, Lamda, Amazon EndPoint, AWS, Twilio
Business Challenge
The client used a legacy monolith learning platform served from multiple LMS that required multiple logins. Adding new features took significant effort and risked disrupting existing ones.
The system experienced substantial downtime at periods of peak load, leading to poor user experience, lower graduation rates, and revenue loss.
The goal was to modernize the technology platform and reduce manual intervention to achieve 99.99% uptime.
Solution
- Re-architected the technology platform using microservices and an event-driven architecture
- Redesigned the user experience and engagement models
- Reduced manual intervention
- Automated scheduling, payment and scoring for tests
Outcomes
- Achieved 99.99% uptime on new platform
- Delivered a unified learning experience to students across multiple LMS platforms
- Increased student engagement with learning content by over 70%
- Cut operations-related effort by more than 50%
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Building a sustainable and scalable evaluation network
A scalable evaluation solution securely managed millions of constructed responses annually with role-based access, monitoring, and reporting for distributed and in-person scoring.
Client
A major educational testing and assessment organization
Goal
To build a sustainable and scalable evaluation solution for varied scoring systems across millions of constructed responses
Tools and Technologies
AWS CloudFront, AWS CloudWatch, Lamda, Amazon EndPoint, AWS, and Twilio
Business Challenge
The client needed a sustainable and scalable system to manage the evaluation of millions of constructed responses (CRs) annually through distributed or in-person scoring.
The goal was to develop streamlined processes, standardized reporting features, and secure, role-based access, as well as admin modules for monitoring.
Solution
Developed an online network for evaluation with enhanced capabilities for sample selection, training, monitoring, scoring and reporting, like:
- Streamlined reports to facilitate online communications and rater mentoring
- Secure, role-based access with appropriate restrictions for system functions
- Admin modules for broadcast, central documentation and communications
- Facilities for monitoring, broadcast, search and other tasks
- Multi-media modes for scoring
- Monitoring for ratings, reviews and other activities as required
Outcomes
- Ensured robust scheduling and integrated forecasting to project rater demand
- Enabled configurable role-based permissions to specific scoring and administrative functions
- Established program hierarchy setup with specific scoring/scheduling needs
- Created user-friendly interface with role specific navigation
- Developed direct tie to IBIS item bank for multiple functions
- Provided real-time, tier 2 support for active test evaluators
- Minimized downtime to avoid extending billable hours for evaluators
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Developing a unified platform for educational testing
An integrated system for test delivery solutions and management across various modes with AWS integration and improved infrastructure to enhance accessibility and deliver robust security and compliance.
Client
A major educational testing and assessment organization
Goal
To develop a comprehensive, secure test delivery and management platform with customizable UI and multi-device compatibility
Tools and Technologies
AWS Cloud Solutions
Business Challenge
The client wanted to develop a comprehensive platform for test delivery and management to replace outdated Java-based systems with one built on modern standards.
The goal was to streamline processes by integrating various components and functionalities and develop a test delivery engine which would support high-stakes exams. The solution also needed to offer customizable user interfaces and compatibility with multiple devices.
Solution
- Hosted and delivered tests using AWS cloud solutions and installers for local servers, admin stations, verification tools, and more
- Developed multiple delivery solutions including secure browser-based tests for testing centers and non-secure browser tests for home use
- Supported remote proctoring solutions for TOEFL, GRE, CLEP, and others
- Enabled special accessibility features for persons with disabilities
- Used native code to detect virtual key and mouse events to ensure security and compliance with ADA
Outcomes
- Simplified the test-taking experience by consolidating proctoring and assessment processes into a single secure browser
- Modernized user interface using contemporary HTML5 standards
- Developed features for persons with disabilities such as keyboard accessibility and screen reader support
- Delivered compliance with ADA
- Enabled configurable branding
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Redeveloping web architecture with responsive design
Responsive redesign improved site speed by 30%, boosted session duration by 20%, and increased ad revenue by 15% while migrating 100% of legacy content seamlessly.
Client
Global health coaching and certification organization
Goal
To develop a responsive website while migrating existing blogs for improved visibility, user experience, and revenue streams
Tools and Technologies
ReactJS, Strapi, Azure API Management, Docker, Kubernetes, AWS CDN
Business Challenge
The client had a website that was static and non-responsive. It had developed extensive and content-rich blogs, but these had been published using an old CMS, Drupal, which severely impacted their SEO and SEM rankings, and reduced reach.
The goal was to redevelop the website with a new CMS that could integrate with multiple platforms to distribute content across various digital channels. Another objective was to leverage the existing content bank without requiring major rework during migration to the new system.
Solution
- Redeveloped a React-based responsive website with new design and positive Lighthouse reports
- Created custom scripts to migrate content from Drupal to Strapi, while retaining or standardizing source formatting
- Developed a headless CMS as a single source to publish content across digital channels
- Integrated tools for monetization
Outcomes
- Greatly improved user experience with a 17% decrease in website bounce rate and 20% rise in average session duration
- Improved website performance to deliver high Lighthouse scores, 30% faster page loading and 10% increase in traffic
- Streamlined content management with headless CMS, resulting in 20% reduction in time taken for content creation and 25% increase in content updates per month
- Integrated new monetization tools to deliver 15% increase in monthly ad revenue and 10% increase in revenue from affiliate marketing programs
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Integration of new and legacy insurance services
New services offered in a modernization initiative, which seamlessly integrated with legacy systems on microservices architecture, and offered uninterrupted and enhanced user access.
Client
A leading mutual life insurance provider
Goal
Ensure seamless integration of new services with legacy systems, offering enhanced access without disruption
Tools and Technologies
Java 11 & 17, Spring Boot, AWS, Jenkins, Apigee Gateway, Splunk Dashboards, Jira, Confluence, Microservices
Business Challenge
The client operated its platform using a legacy infrastructure, which had some limitations. It desired to introduce new services on a modern platform, without disrupting the existing legacy infrastructure or changing the current customer interface.
The goal was to create a compatible schema of responses from both platforms and to ensure that the integration did not affect overall service availability during and after the transition.
Solution
- Built an API façade layer to allow intelligent routing and appropriate directing of traffic between legacy and FINEOS services
- Enabled feature toggles for dynamic switching between legacy and FINEOS services
- Ensured a controlled rollout and rollback without code redeployment
- Implemented a backward-compatible schema design for consistent responses across systems
- Provided error handling and fallback mechanisms for graceful degradation
- Maintained continuity of service in case of failures in the new system
Outcomes
- Increased scalability and enabled support for higher loads
- Improved system uptime and delivered greater reliability
- Provided seamless user experience and minimal disruption
- Enhanced customer trust and satisfaction
- Allowed testing and deployment of features incrementally
- Ensured greater operational flexibility
- Upgraded monitoring and traceability for proactive issue detection and resolution
- Created strong foundations for future enhancements and service expansions
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Modern system for insurance data management
Development of a robust framework and a secure, automated solution to ensure smooth migration of data from legacy systems to AWS while maintaining flexibility in distribution across file formats and channels.
Client
A large NY-based life insurance and investment company
Goal
Create a secure, automated solution for data ingestion and a robust framework for distribution across channels
Tools and Technologies
Python, PySpark, AWS Glue/Redshift/Lambda/S3/Aurora, Stonebranch, Jira, Github
Business Challenge
The client used a legacy product data infrastructure (PACE) and other systems that provided neither fully-secure access nor enabled efficient quality checks. This affected system integration and data ingestion and distribution.
Workflows and checks were not adequately automated, and they did not offer a reusable framework to generate and deliver outbound data files aligned with business requirements.
Solution
- Created reusable and scalable ETL/ELT pipelines using Python and AWS services
- Integrated Stonebranch for orchestration and automated job scheduling, with monitoring mechanisms and alerts
- Tuned Redshift queries and optimized data ingestion processes to reduce latency and improve throughput
- Defined data specifications and output formats as per business needs
- Built a configurable pipeline to create dynamic CSV/Excel files from Redshift views
- Automated file delivery via email/SFTP monitored and orchestrated by Stonebranch
Outcomes
- Improved data distribution and a reusable framework for ingestion and distribution of data across existing and new products
- Streamlined operations and improved data accessibility
- Enhanced performance and scalability
- Ensured better data quality and governance with automation and structured reusability
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Modern insurance product data services platform
Development of a centralized platform for product data services that can distribute critical data securely, enforce governance, scale with business needs, and integrate smoothly with downstream applications.
Client
A large NY-based life insurance and investment services provider
Goal
Create a unified, scalable architecture for secure, standardized sharing of data with downstream services
Tools and Technologies
Java 21, Spring Boot, AWS, Jenkins, Stonebranch, Jira, Microservices, Redshift, Aurora, DynamoDB, Angular, JS, MYSQL, EKS, SQS
Business Challenge
The client used a product data mart that lacked a secure, standardized method to share data with downstream services. This affected data governance and consistency across applications. It also faced the risk of disrupting tightly integrated legacy data flows while shifting from a legacy PACE system that supports critical AEM microservices to a PDP mart.
It needed a new system that is scalable, and the modernization process had to be carried out with minimal disruption to existing systems.
Solution
Implemented a dual-solution strategy to modernize data access and delivery. Key elements included:
- Built a microservices-based platform and deployed on AWS
- Enabled secure, flexible API access to the product data mart using tagged identifiers
- Ensured a scalable design with minimal code changes for expansion
- Allowed existing AEM microservices to operate without changes during and post-transition
Outcomes
- Improved efficiency and security by enabling standardized, governed access to product and entity data
- Achieved faster delivery and reduced manual effort
- Ensured seamless integration while modernizing the backend
- Maintained front-end stability of AEM microservices
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Move to Singularity platform benefits insurer
Modernizing multiple legacy accounting systems into a unified AI-powered cloud platform achieves new levels of scalability and intelligent reporting.
Client
Large NY-based life insurance & investment company
Goal
Modernize multiple legacy accounting systems to achieve operational efficiency, scalability and improved data analytics
Tools and Technologies
Python, Oracle, SQL Server, AWS Server, Jira, Stonebranch
Business Challenge
The insurer sought a comprehensive cloud-based solution using modern infrastructure and automation to address key challenges. The Singularity platform was selected to integrate investment data from multiple accounting systems, including SS&C CAMRA, Blackrock, IDCFX, Mackay, and Marked Price, into a unified solution. The project aimed to modernize the insurer’s legacy Debt & Derivatives system, which was limited in functionality, lacked scalability, and hindered business growth due to its outdated, on-premises infrastructure.
Solution
- Seamless integration of data into and out of the Singularity platform enabled streamlined operations
- Stonebranch Universal Automation Controller on AWS was leveraged to automate and schedule data extracts, ensuring timely and reliable data availability
- Robust data integrity checks were embedded throughout the pipeline to maintain high-quality outputs
- Tableau was integrated to deliver interactive dashboards, enabling data-driven decision-making across business functions
Outcomes
- The solution delivered greater scalability, system reliability, and data accuracy
- The streamlined data ecosystem significantly enhanced overall user experience
- Unified data and interactive Tableau dashboards established a single source of truth, supporting more informed business decision-making
- The modernized platform enabled the generation of complex business-critical reports that were not possible with the legacy system
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Legacy System Modernization for Cloud
Upgrading technology infrastructure to modular, cloud-native design increases functional efficiency and security for major insurer’s commercial real estate business.
Client
Large NY-based life insurance and investment company
Goal
Modernize technology systems in commercial real estate functions to reduce bottlenecks, response times and vulnerabilities
Tools and Technologies
.NET 8, Angular 17+, Docker, Kubernetes, GitHub, AWS
Business Challenge
The insurer’s commercial real estate mortgage unit required upgrades to the technology systems supporting its loan processing and cash management capabilities. Reliance on .NET Framework 4.8 and Angular 9 posed significant limitations, including restricted agility, difficulty adopting microservices, and challenges attracting top engineering talent. The existing monolithic, non-cloud-native architecture led to performance bottlenecks and slow response times. Outdated protocols created security vulnerabilities, while limited DevOps integration and complex debugging made cloud migration costly and inefficient.
Solution
- Migrated the technology stack to .NET 8 and Angular 17+ for better cross-platform compatibility and long-term performance
- Adopted Docker and Kubernetes to enable scalable, cloud-native deployments on AWS
- Implemented CI/CD automation using GitHub Actions for faster and more secure release cycles
- Refactored legacy application into a modular monolith and microservices for agility and maintainability
Outcomes
- Improved application performance and responsiveness delivered faster, smoother user experiences
- Boosted developer productivity and team collaboration and streamlined testing and onboarding
- Strengthened security and compliance with up-to-date platforms and better integration with security tools
- Enabled scalable, reliable, simplified deployments using containerization and orchestration
- Reduced long-term maintenance effort and costs through clean, modular code and better monitoring
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