Swetha Nadla

• Designed and developed Imperium, Walmart’s enterprise-scale rules and exceptions management platform, enabling scalable, configuration-driven business decisioning.
• Architected and implemented backend rule execution pipelines, including exception-first evaluation, forced execution paths, and resilient rules fallback mechanisms.
• Integrated frontend workflows with Knowledge Base (KB) Builder and KB Serving APIs, enabling near-real-time rule refresh with an 8-minute SLA.
• Implemented cache-first architectures using MemCache with database fallback, ensuring high availability and graceful degradation during cache outages.
• Improved backend performance by introducing Bloom filter–based prechecks, reducing unnecessary cache and database reads.
• Built configuration-driven, no-code rule authoring interfaces, empowering business users to define complex rules and exceptions without engineering involvement.
• Developed LLM-powered conversational interfaces (chatbots) for rule creation and modification using natural language, leveraging:
  Advanced prompt engineering (system prompts, few-shot examples, and intent disambiguation) to improve user query understanding and reduce ambiguity.
  Pydantic-based schema validation to enforce strong typing, structural correctness, and backend compatibility of LLM outputs.
  Structured output parsing (JSON-first responses, retries, and fallback strategies) to ensure deterministic, production-safe configurations.
  Guardrails and confidence checks to prevent invalid, unsafe, or non-governed rule generation.
• Designed the LLM workflow with human-in-the-loop confirmation, previewing rule diffs before execution to improve trust and user experience.
• Implemented validation, governance, and auditability for LLM-generated rules, ensuring security, compliance, and operational safety.
• Designed and delivered operational dashboards for rule execution monitoring and exception management.
• Implemented IAM and RBAC frameworks across frontend and backend services to support secure, multi-tenant enterprise usage.

• Was part of the Cloud Migration Project where all the business applications are moved into the AWS Cloud.
• Worked on building the infrastructure for internal teams like Ansible Tower, Terraform Enterprise, Jenkins, Artifactory, Consul/Vault to automate the CICD process.
• Implemented CI/CD using AWS CodeBuild, CodeDeploy, CodePipeline setup for smaller teams to deploy builds without human intervention.
• Develop CI/CD system with Jenkins on Kubernetes container environment, utilizing Kubernetes and Docker for the runtime environment for the CI/CD system to build and test and deploy.
• Implemented Microservices in load balanced, highly available, fault tolerant Kubernetes
• Experience on modularizing Terraform templates/repos for provisioning the infrastructure in AWS and Kubernetes environment.
• Proficient in DRYing (Don’t Repeat Yourself) out the code to leverage at least 80 Terraform Enterprise Workspaces which allowed the organization to save $1000 per workspace.
• Worked on creating Sentinel Policies for Terraform.
• Worked on Ansible, used YML packages for installing, configuring push to make changes in time.
• Experience writing Ansible playbooks to deploy automated tasks to multiple servers.
• Able to build solid relationships within as well as consensus across multiple teams on environment strategies of build and release process.

• Developed and optimized web applications for the Internal Transfer Portal (ITP) and Internal Transfer Workflows (ITW), utilizing advanced frameworks like Spring Boot, Vue.js, and React.js for building responsive and highly scalable solutions.
• Automated internal administrative processes and workflows using AWS Lambda, significantly reducing manual interventions and enhancing operational efficiency.
• Architected and implemented a robust microservices architecture using Java JDK and Scala, integrating seamlessly with Oracle databases.
• Developed RESTful APIs for employee preferences and job recommendations, leveraging advanced API Gateway configurations.
• Built and integrated machine learning models using Amazon Sage Maker for generating personalized job recommendations.
• Implemented data pipelines to collect and analyze user interaction data, continuously refining the accuracy of the recommendations.
• Designed and developed an email engine service from the ground up, utilizing AWS SES and SNS for automated notifications and communications within the internal transfer system.
• Utilized advanced monitoring and logging tools such as Grafana, Prometheus, and ELK stack (Elasticsearch, Logstash, Kibana) to ensure high system availability, resilience, and performance. Identified and resolved critical performance bottlenecks, achieving a 35% improvement in service response times.
• Built and maintained sophisticated CI/CD pipelines using Jenkins and GitHub Actions, integrating Docker and Kubernetes for automated container orchestration. Achieved a 50% reduction in deployment times and enhanced scalability.
• Conducted comprehensive testing using a suite of tools, including JUnit, Mockito, Selenium WebDriver, Playwright, Cucumber, and Cypress, ensuring high-quality software releases.
• Participated actively in peer code reviews and Agile Scrum ceremonies to maintain coding standards and best practices.
• Managed and optimized extensive databases including MySQL, NoSQL, Amazon RDS, DynamoDB, and Elasticsearch.
• Utilized Amazon Quick Sight for creating insightful data visualizations and business intelligence reports.
• Implemented robust security measures using Spring Boot Auth Server with JWT tokens for OAuth2 Authentication and Authorization. Enhanced data security by supporting Java Cryptology Extensions (JCE) Cipher class API for secure data transactions.
• Created and maintained comprehensive technical documentation, including High-Level Designs (HLDs), Low-Level Designs (LLDs), runbooks, and detailed process flows. Authored and documented key architectural decisions through Architectural Decision Records (ADRs), promoting transparent and traceable decision-making processes.
• Led the design and development of key projects for ITP, ITW, and the Global Talent Movement Core (GTMC) team, significantly enhancing internal workflows and transfer processes. Coordinated effectively with cross-functional teams to ensure project alignment and successful delivery.
• Integrated Amazon surveys and APIs to conduct product surveys, collecting valuable feedback and data to inform decision-making and product improvements.
• Developed robust tools for monitoring complex systems and managing high-volume transactions, achieving a 25% reduction in system downtime. Applied advanced DevOps techniques for system automation, improving incident response metrics.
• Optimized SQL queries, resulting in improved database performance and faster data retrieval times. Implemented AWS CloudFront as a Content Delivery Network (CDN) for globally enhanced content delivery and improved load times.
• Executed efficient background processing using AWS services, improving system scalability and reducing processing times for asynchronous tasks.

• Executed automated scripts using Core Java to streamline testing processes and improve efficiency.

• Engineered Java applications utilizing Spring Boot/MVC, optimizing performance and minimizing response times.

• Developed driver packs for various OS versions (Windows, Linux) and HP products, ensuring compatibility and functionality.

• Performed manual testing using Black Box Testing Techniques, including Functional, GUI, System, User Acceptance, Regression, Ad-Hoc, Smoke, Localization, Multiple Browser Compatibility Testing, and Retesting.

• Conducted performance and power consumption tests of systems and applications.

• Coordinated with developers on defect fixes, prioritization, and client-requested enhancements, ensuring timely resolution of issues.

• Verified customer escalated issues, reproduced real-time scenarios, and assisted developers in troubleshooting.

• Prepared testbed setups, flashed BIOS, and troubleshooted OS installation issues, network issues, and MAC ID resetting.

• Installed OS through various methods (clean install, network deployment via PRISM) on different hardware platforms.

• Configured and troubleshooted SCCM server, Active Directory, FTP, and HTTP sites.

• Deployed SCCM policies and driver packages across multiple platforms, and performed Catalog Testing with SCCM/SCUP.

• Managed version control using Git and related platforms (GitHub, Bitbucket), ensuring cohesive development efforts.

• Leveraged DevOps tools such as Docker, Kubernetes, and Jenkins to automate build, deployment, and testing processes, increasing operational efficiency.