Pooja S

IBM Operational Decision Manager (ODM) professional with 5 years 8 months of experience designing, developing, and deploying enterprise-scale decision services and business rules solutions. Strong expertise in rule authoring, ruleflows, decision tables, rule governance, performance optimization, and end-to-end ODM lifecycle management. Experienced in building scalable, highly available, and low-latency rule-based systems while supporting platform modernization and migration initiatives.

Proficient in Java, REST services, SQL, and enterprise integrations with exposure to AI/GenAI, Machine Learning, and Large Language Model (LLM) applications. Proven ability to collaborate with business and technical stakeholders to deliver mission-critical solutions in Insurance and Healthcare domains.

Senior Software Engineer – IBM ODM at LTIMindtree (2024-01 – Present)

Project 1: Eligibility & Pricing Rules Engine - Domain: Insurance

• Designed, developed, and maintained multiple rule-based decision services using IBM Operational Decision Manager (ODM) to support complex insurance workflows such as eligibility checks, underwriting rules, premium calculation, and policy validations.
• Actively participated in requirement analysis and solution design, collaborating with business stakeholders to translate complex and frequently changing business requirements into optimized business rules, decision tables, and ruleflows within Decision Center and Rule Designer.
• Developed and managed rule artifacts in Decision Center, enabling business users to author, review, and approve rules; handled rule versioning and governance across environments (DEV, SIT, UAT, PROD).
• Built and enhanced multiple decision services (validation, eligibility, pricing, and exception handling), ensuring proper orchestration and execution flow using ruleflow groups.
• Performed unit testing and rule validation, ensuring accuracy, performance, and compliance with business logic.
• Contributed to modernization initiatives for rule-based platforms by enhancing decision services, improving maintainability, and supporting migration of business rules across environments.
• Designed scalable ODM-based decision services capable of handling high transaction volumes while maintaining low-latency response times and high availability.
• Collaborated with architects, business analysts, and development teams to ensure decision services aligned with enterprise security, compliance, and infrastructure standards.
• Automated rule deployment and validation activities, improving release efficiency and reducing manual effort across development and testing cycles.
• Participated in evaluating AI/ML-driven approaches.

Software Engineer – IBM ODM at Cognizant Technology Solutions (2020-01 – 2024-01)

Domain: Health Insurance

• Worked extensively on IBM Operational Decision Manager (ODM) versions 8.10 and 8.12, designing and delivering rule-based solutions for complex enterprise applications across insurance and financial domains.
• Actively involved in the complete end-to-end ODM lifecycle, including requirements gathering from business stakeholders, impact analysis, technical design, rule development, unit and integration testing, deployment, and post-production support.
• Translated complex business requirements into executable business rules, ensuring accuracy, scalability, and maintainability by leveraging action rules, decision tables, rule templates, and ruleflows.
• Designed, developed, and maintained decision tables, ruleflows, rule templates, and dynamic domains, enabling efficient rule reuse and empowering business users to manage rules through Decision Center with minimal technical dependency.
• Designed and deployed more than 15 BRMS-based applications, delivering configurable and scalable decision services tailored to client-specific requirements and regulatory changes.
• Implemented and maintained Business Object Model (BOM) and Execution Object Model (XOM) using Core Java, ensuring seamless integration between Java applications and ODM decision services.
• Performed rule performance tuning and optimization, reducing decision service response times by up to 50% by restructuring ruleflows, optimizing rule conditions, and minimizing unnecessary rule execution.
• Created and executed comprehensive test cases using SoapUI and to validate rule logic, test cases, and ensure functional correctness across multiple scenarios.
• Deployed RuleApps and RuleSets to Rule Execution Server, managing deployments across environments (DEV, SIT, UAT, PROD) and supporting versioning, rollback, and controlled releases.
• Configured and managed Decision Center for business users, including user roles, permissions, rule governance workflows, baselines, and approvals to support collaborative rule authoring.
• Worked extensively with XML, JSON, and XSD, designing input/output schemas for decision services and ensuring compatibility with upstream and downstream systems.
• Supported enterprise-scale migration and modernization initiatives involving IBM ODM decision services and rule governance frameworks.
• Developed reusable rule components and service-oriented decisioning solutions that improved scalability, maintainability, and operational efficiency.
• Worked closely with cross-functional teams to deliver high-performance decision services integrated with enterprise applications through REST and SOAP interfaces.
• Contributed to performance engineering efforts by identifying bottlenecks, optimizing rule execution patterns, and improving overall decision service throughput.
• Participated in automation initiatives involving deployment, testing, monitoring, and release management activities across multiple environments.

Bachelor of Engineering in Electronics and Communication Engineering – C Abdul Hakeem College of Engineering and Technology

Higher Secondary School Certificate – Holy Cross Matriculation Higher Secondary School

Secondary School Leaving Certificate – Holy Cross Matriculation Higher Secondary School