Ravi Yenugu

• Lead senior and principal engineers delivering 220+ RESTful and event-driven apis using Spring Boot and Kafka on Red Hat OpenShift Platform.
• Own api governance, lifecycle, standards, and documentation across the platform.
• Lead platform-level vulnerability management, analyzing contrast and checkmarx findings and coordinating remediation across application code, libraries, and base images.
• Built platform-wide automation using bash and python, including a React-based UI for tracking api inventory, base image versions, and team ownership at scale.

• Provided technical leadership and direction for platform apis and event-driven architecture on OpenShift.
• Mentored principal and senior engineers; drove architecture decisions and design standards across teams.
• Partnered with security and platform teams on vulnerability remediation and api governance initiatives.
• Defined and socialized technical roadmaps and best practices for Spring Boot, Kafka, and containerized deployments.

• Implemented Kafka event streaming service to read topics and update UI for event-driven design.
• Led architecture reviews with technical and business stakeholders to design and deliver key features.
• Managed developers; conducted code and design reviews to accelerate delivery.

• Developed containerized, scalable, secure microservices using Java Spring REST APIs.
• Led and improved software release management processes.
• Collaborated with cross-functional teams on development and deployment; created technical documentation.

• Developed Spring Boot REST APIs for scalable, secure microservices.
• Wrote and maintained unit tests with Spock and Groovy.
• Built and deployed containerized applications (Docker, OpenShift).

• Full-stack Java web applications using Agile for production, reporting, quality, and development.
• RESTful APIs in Java with Spring Boot to integrate third-party services with ERP.
• SYSPRO ERP administration and customization (MS SQL, VB scripting).
• Led software initiatives and roadmaps toward cloud-native applications, microservices, and Industry 4.0.

• Investment strategy performance measurement, risk assessment, and attribution analysis.
• Data conversions and loading programs integrating investment data from multiple sources.
• Proprietary databases and software applications for research and firm-wide departments.

Financial Aid Office: student loan processing and database entry.