● Spearheaded development of Next Gen Omni, Walmart’s next-generation financial platform supporting 30M+ daily store-to-store transactions across Sam’s Club and Walmart locations, leveraging Spring Framework, Kafka, Lenses.io, Cosmos DB, Jenkins, Kubernetes, and DB2.

● Designed and implemented real-time data processors for international store financial systems, enabling daily filtering of 1.2M transactions from Mexico and Canada by using Spring Boot, Spring MVC, Kafka, and JDBC.

● Modernized 20+ apps by upgrading from JDK 11 to 21, improving transaction processing performance by 57%.

● Collaborated with Walmart’s infrastructure team to optimize Maven dependency management across 20+ applications by introducing the internal GTP BOM, reducing development cycle time by 40%.

● Accelerated CI/CD efficiency by 90% through implementation of parallelized functional tests across 3 mission-critical application cycles by using JUnit5 and Mockito.

● Optimized performance test analytics time spending by 60% in 8 business services through implementation of automated AI log analysis service integration with LLM Model APIs using Python, Jmeter, and Automaton.

● Led cloud-native migration of log management infrastructure from Splunk to OpenObserve for 15 microservices.

● Designed and implemented a backend and infrastructure service for RockBook, a start-up social media and information platform able to handle over 2,000,000+ daily active users, using A WS SAM.

● Developed and maintained a backend dependency consisting of 100+ reusable components using Maven on Github, including database fields, exception handlers, HTTP connection methods, and database connection modules.

● Collaborated with the founder to design and to implement 20+ A WS Lambda functions, 15 API Gateway endpoints, and an RDS (MySQL) with 10+ tables for features including content management, comments, user profiles, likes, and file storage, be able to serve 5,000,000+ API requests daily.

● Designed and implemented notification systems using SNS, SQS, SES , ensuring real-time processing and delivery of over 10,000,000+ mobile, SMS, and email notifications daily.

● Integrated S3 and CloudFront for storing and serving 100TB+ of user-generated content, CloudWatch for monitoring and logging 100+ metrics and 500+ log events per second, IAM for enforcing access control policies across 10+ roles and 50+ permissions, and VPC for securing network communication between 5+ services.

● Implemented and maintained 5 CI/CD pipelines using A WS CodePipeline and CodeBuild, automating the build, testing, and deployment process for 4 environments (dev, build, beta, prod), and managed database structure using Skeema.io for version control and schema migrations, handling 20+ schema changes per month.

● Developed the next generation front-end A/B testing control center for Fiona, a financial searching service website, reaching out over 56,000+ users utilizing TypeScript, React.js, GCP, and GrowthBook’s Library.

● Analyzed and built A/B testing metrics in the control center, including click-through rate (CTR), session duration, bounce rate, page views per session, and conversion rate for Fiona’s credit card, student loan, and insurance sessions.

● Implemented feature flags for enabling user-customizable theme selection and data display options.

● Deployed metrics' alarms in GCP BigQuery, including error rate alarm, traffic anomaly alarm, and abnormal bounce rate alarm, to monitor real-time experiments' feedback from control center.

● Developed a data analysis control center for 5,000+ users using Spring Framework, AWS, and Pandas in a team of 8.

● Developed student-side control center interfaces, facilitating multivariate analysis and data visualization.

● Established database to store and handle questionnaire data, user responses, and test indexes, coupled with crafting APIs for distributing questionnaires, processing submissions, and extracting results.

● Implemented batch processing using Spring Batch for handling analysis submissions by grouping datasets, and integrated Spring Cache for caching accessed data, including analysis results and user response patterns.