Developed and maintained a Fraud Detector REST API service using NestJS and TypeScript, integrating seamlessly with AWS Fraud Detector to enhance fraud prevention capabilities.Collaborated with the Machine Learning team to sync critical data into a data lake, facilitating the building of data models for AWS Fraud Detector training.Partnered with Lexis Nexis to inject behavior analytics scripts on the frontend, capturing user information for fraud prevention.Developed a data pipeline using Python to transform and analyze fraud account data, providing actionable insights to the Web Block team for issue resolution.Worked cross-functionally with clients to integrate various fraud prevention tools, including AWS Fraud Detector, Google reCAPTCHA, and LexisNexis, to identify and mitigate fraud risks effectively.Led a team of 4 engineers to deliver business-critical features, ensuring alignment with strategic goals and maintaining high standards of code quality and performance.Presented to directors and higher management, showcasing how the fraud insights team functions and contributes to fraud prevention, using comprehensive PPT slides.Skills: AWS Services (Lambda, Step Functions, ECS, CloudFormation, CloudFront, Route 53, Fraud Detector), Node.js, NestJS, TypeScript, Serverless Architecture, Docker, Cloud Infrastructure Engineering, Splunk, Python, JavaScript, Infrastructure as Code (IaC), CI/CD (Bamboo), Git, Security Best Practices, Cross-functional.

Developed robust backend systems using Java (version 17), leveraging the Spring Boot framework for efficient application development and deployment.Built scalable, high-performance applications using advanced features of Java and Spring Boot, optimizing system performance and reliability.Designed and implemented GraphQL APIs with a focus on creating complex mutations and queries for seamless data retrieval and manipulation.Managed API versioning to ensure compatibility and stability across various application components, supporting a smooth transition for clients and end-users.Applied best practices in GraphQL API design and implementation, enhancing the functionality and efficiency of the system.Architected and implemented distributed systems, ensuring high availability, fault tolerance, and scalability across cloud platforms such as AWSLeveraged microservices architecture to decouple complex systems into manageable components, improving maintainability and deployment efficiency.Optimized cloud architectures for performance and cost-efficiency, including designing data pipelines and storage solutions using services like Amazon S3, AWS Lambda.Established robust monitoring and observability solutions using tools such as Dynatrace, Kibana, Splunk, PagerDuty and CloudWatch to proactively identify and address system issues.Designed, coded, tested, debugged, and documented functional components to ensure software meets business, quality, and operational needs. Built high-quality code using Python and Javascript by following unit testing and test-driven development methodologies.Leveraged Python libraries such as FastAPI to design and implement RESTful APIs, enabling seamless data exchange.Contributed to the development of backend applications using Node.js, leveraging it for API creation and other server-side logic.Utilized API Gateway and Apigee to design, deploy, and manage APIs efficiently, enhancing connectivity and functionality across applications.

Supported product managers in end-of-life product decisions, aligning project or product architecture with the overall enterprise architecture.Defined principles, guidelines, standards, and solution patterns to ensure solution decisions aligned with the enterprise's future-state architecture vision.Designed and implemented the migration and deployment plan to use Jenkins.Release Engineer for a team that involved different development teams and multiple simultaneous software releases.Monitored progression of releases and kept on schedule.Worked with the automated scripts for the Build and Deployment of the applications.Installing, configuring, and administering Jenkin’s tool on Linux, MAC, and Windows machines.Coordinate/assist developers with establishing and applying appropriate branching, labeling/naming conventions using GIT source control.Implemented the setup for Master slave architecture to improve the Performance of Jenkins.Used Jenkins for Continuous Integration and deployment into Tomcat Application Server.Installed and configured the repository manager for sharing the artifacts within the company.Supported and developed tools for integration, automated testing, and release management.Used JSON, REST, Express, Linux, GIT, Webpack, Jasmine, Protractor, Enzyme, Junit, Jenkins, AWS, WebSphere.Skills: Python, Javascript, Java, Shell, Apigee, AWS, SQL, Jenkins, Linux, IBM Websphere.