Software Engineer

Sai Shivani Aahwanika Maddi Lakshmi

Dallas, Texas • 513-***-**** • ********************@*****.*** • LinkedIn SUMMARY

Software Engineer with 4+ years of experience in backend development using Java, Spring Boot and Kafka. Proven expertise in cloud platforms like AWS, containerized deployment using Kubernetes that reduced release cycles by 30% and scalable microservices architecture. Seeking Full-Time opportunities as a Backend/Full-Stack Software Engineer. EDUCATION

University of Cincinnati, Carl H. Lindner College of Business May 2025 Master of Science in Information Systems (GPA - 3.8) Cincinnati, Ohio VIT University Apr 2019

Bachelor of technology in Computer Engineering Chennai, India TECHNICAL SKILLS

Languages and Concepts: Java, Python, Javascript, HTML, CSS, Data Structures and Algorithms, Design Patterns, Linux Databases: Apache Cassandra,SQL, MongoDB, PostgreSQL Frameworks and Tools: Spring Boot, Rest APIs, Redis, Apache Kafka, Angular, RabbitMQ, ReactJS, Postman, Grafana, IntelliJ, Build tools (Gradle, maven), Kafka UI, SonarQube, Splunk, Gatling, Mockito, Prometheus, Junit, Mockito, Swagger, Agile methodology, JIRA, GIT,Github, Hibernate, Microservices, Docker, Kubernetes, ETL, Jenkins, CI/CD Pipelines Cloud and Infrastructure: AWS (ECR, EKS, S3, DynamoDB, LAMBDA, Key-spaces, EC2, Cloudwatch, Athena, AWS PROFESSIONAL Gateway), Azure EXPERIENCE

Copart (Java, Spring Boot, Kafka) Sep 2024 – Mar 2025 Software Engineer Intern Dallas, Texas, USA

● Transformed legacy Ruby Code into Kubernetes hosted Java microservices resulting in significant performance improvements and a 1.5 % reduction in operation costs.

● Developed and optimized backend service, including complex Solr queries and API integrations to improve functionality and system architecture.

● Designed and implemented a high performance Spring Batch application to process and fetch 100 body shop phone numbers every 5 mins, seamlessly integrating with an AI-powered Call bot for automated outbound dialing. Optum UnitedHealth Group (Java, Spring Boot, Kafka, AWS) Jul 2022 - Jul 2023 Senior Software Engineer Hyderabad, India

● Devised Java microservices and dashboards impact healthcare metrics by 30%, improving accuracy and reduced operational costs by 20% and boosted stakeholder interaction by 40% through bottleneck analysis.

● Spearheaded the deployment of Java microservices containerized with Docker in a Kubernetes AWS EKS environment using Jenkins CI/CD process and led Gatling performance testing efforts that simulated over 10,000 concurrent users.

● Streamlined operations by migrating microservices from on premise cluster to AWS EKS, reducing costs by 40% and Implemented Prometheus metrics with Splunk and CloudWatch to monitor 90% of services, ensuring reliability.

● Collaborated with project managers, design team and customers leading to a 40% decrease in recurring issues through the adoption of feedback into design and development lifecycle and contributed to code reviews.

● Incorporated Helm for managing 20+ Kubernetes applications by creating, versioning, and deploying 50+ Helm charts, streamlining the configuration and deployment process, ensuring 99.9% consistency across 3+ environments. Software Engineer Jul 2019 - Jul 2022

● Engineered microservices exposing RESTFUL API endpoints using JAVA Spring Boot and Apache Cassandra (NoSQL), implementation of live streaming pipelines and JUnit testing of enterprise applications achieving 95% code coverage.

● Designed data Pipelines which included microservices architecture retrieving data at a rate of 1000 RPS from MySQL and ingested data into Kafka streams performing transformations converting into Avro/Json, processing 5000 RPS.

● Orchestrated efficient data transfer to Amazon key-spaces and S3 storage at a rate of 1 gigabyte/hour using Kafka Connectors in a Kubernetes Cluster.

● Resolved alerts on Splunk by debugging with 90% of the production issues addressed within the first hour of detection, reducing potential downtime and improving system reliability and contributed to logging.

● Leveraged Kafka UI for real-time monitoring, topic management and consumer lag tracking, and analyzed Kibana for log analysis, enhancing microservice operational efficiency by 70%.

● Automated application deployment using Jenkins and adopted a Blue-Green strategy decreasing application downtime by 95%.

● Integrated Redis as a distributed in-memory cache to optimize microservice response times, reducing API latency by 60% and offloading frequent DB queries in high-throughput environments.

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