Software Engineer at HewlettPackard Enterprise (HPE)

Built scalable full-stack enterprise applications using Java, Spring Boot, AWS, SQL, React, and JavaScript, improving API performance by 30%. Enabled ML-ready datasets by optimizing backend data pipelines and reducing processing delays. Integrated XML pipelines and REST APIs into enterprise dashboards using jQuery and SQL, improving data interoperability and reducing errors by 30%. Automated CI/CD workflows using Git, Bitbucket, Jenkins, and Jira, accelerating deployment velocity by 40%. Reduced production defects by 25% through improved version control, automated testing, and release management. Collaborated with cross-functional teams to deliver enterprise-grade solutions, enhancing platform scalability and stakeholder satisfaction.

Full-Stack Engineer at University of Houston

Developed Java Spring Boot microservices with SQL databases and secure AWS-based APIs, improving backend reliability and scalability. Optimized reporting workflows and audit logs, enhancing data performance and compliance with enterprise standards. Built React and Angular dashboards integrated with REST APIs and JWT authentication, reducing system errors by 25% and improving UX. Improved application performance through front-end integration tuning, aligning functionalities with enterprise requirements. Containerized applications using Docker and Kubernetes, streamlining environment consistency and scaling. Automated CI/CD deployments on Jenkins, increasing release efficiency by 35% and enhancing cross-team Agile collaboration.

Software Engineer at eBay

Designed and developed RESTful microservices using Java, Spring Boot, and AWS for Product Information Management (PIM), increasing data ingestion throughput by 25% through schema validation and modular architecture. Built and optimized backend APIs with Java, Spring Boot, Hibernate, and SQL Server, improving scalability and analytics processing efficiency. Implemented unit testing frameworks (JUnit & Mockito) to validate data integrity and reduce pipeline failures. Enhanced system performance by tuning SQL queries and optimizing Hibernate mappings, improving response time under peak loads. Automated CI/CD pipelines using Git, Maven, Gradle, and Jenkins, enabling faster and more predictable deployments. Collaborated with cross-functional agile teams to deliver high-performance enterprise solutions, strengthening platform reliability and maintainability.