I am a Software Engineer with 4.5+ years of experience building cloud-native, scalable, and resilient backend systems using Java, Spring Boot, and microservices. I design robust APIs and data layers, leveraging AWS, Kubernetes, Terraform, Redis, PostgreSQL, Kafka, and event-driven architectures to deliver reliable, scalable software. I have a strong foundation in system design, distributed systems, CI/CD, DevOps, and observability. I also have experience integrating Generative AI and automation to streamline workflows and optimize backend performance, contributing to secure, maintainable enterprise-grade applications.

Shruthi Nandakumar

I am a Software Engineer with 4.5+ years of experience building cloud-native, scalable, and resilient backend systems using Java, Spring Boot, and microservices. I design robust APIs and data layers, leveraging AWS, Kubernetes, Terraform, Redis, PostgreSQL, Kafka, and event-driven architectures to deliver reliable, scalable software. I have a strong foundation in system design, distributed systems, CI/CD, DevOps, and observability. I also have experience integrating Generative AI and automation to streamline workflows and optimize backend performance, contributing to secure, maintainable enterprise-grade applications.

Available to hire

I am a Software Engineer with 4.5+ years of experience building cloud-native, scalable, and resilient backend systems using Java, Spring Boot, and microservices. I design robust APIs and data layers, leveraging AWS, Kubernetes, Terraform, Redis, PostgreSQL, Kafka, and event-driven architectures to deliver reliable, scalable software.

I have a strong foundation in system design, distributed systems, CI/CD, DevOps, and observability. I also have experience integrating Generative AI and automation to streamline workflows and optimize backend performance, contributing to secure, maintainable enterprise-grade applications.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
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Language

English
Fluent

Work Experience

Software Development Engineer at Freddie Mac
September 1, 2024 - Present
Developed Java services to automate borrower eligibility, credit scoring, and income verification for mortgage processing, handling 2.2M+ applications annually with 92% processing reliability and 24% improved decision accuracy. Designed high-performance REST APIs enabling automated loan submissions and underwriting for 150+ lender systems, boosting throughput by 28% with 87% API success. Built AWS-based infrastructure for scalable underwriting services, optimized PostgreSQL data access reducing latency by 40% and increasing transaction efficiency by 25% across 12TB+ mortgage data. Implemented automated borrower document validation workflows and integrated Generative AI to generate concise underwriting summaries, raising review efficiency by 40% for 1.7M+ applications. Added Redis caching for hot data, cutting API latency by 35%. Wrote unit/integration tests with JUnit/Mockito and contributed to distributed system design to handle high-volume loan workflows.
Software Engineer at Barclays
September 1, 2020 - July 31, 2023
Developed Java microservices using Spring Boot and Hibernate for account management and payments, handling 1M+ daily banking transactions. Implemented event-driven processing with Apache Kafka for real-time payment events, improving throughput by 30% and enabling reliable asynchronous communication. Optimized data access with Hibernate, SQL tuning, and indexing on PostgreSQL for high-volume workloads. Containerized services with Docker and deployed on Kubernetes, enabling automated horizontal scaling. Built CI/CD pipelines with Jenkins and Git, reducing release cycles by 35%. Implemented monitoring with Prometheus and Grafana, achieving 99.9% uptime. Strengthened API security with OAuth2/JWT and managed AWS infrastructure with Terraform, auto-scaling, and load balancing across 3M+ daily transactions.

Education

Master of Science in Computer Science at Saint Louis University, St. Louis, MO
January 11, 2030 - March 16, 2026
Master of Science in Computer Science at Saint Louis University, St. Louis, MO
January 11, 2030 - March 27, 2026

Qualifications

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Industry Experience

Software & Internet, Professional Services, Financial Services