I’m a software engineer with 4+ years of experience building cloud-native, distributed, and AI-powered backend systems. I work primarily with Java and Spring Boot to design secure REST APIs and microservices, and I’ve built event-driven architectures using Apache Kafka and AWS services. I also develop production-grade solutions using Retrieval-Augmented Generation (RAG) and agentic AI. At Amazon, I’ve integrated Amazon Bedrock with OpenSearch vector indexing and S3-based knowledge repositories to improve response relevance and factual consistency, while using CI/CD, Kubernetes, Docker, and observability tooling to keep systems reliable under high load.

Santosh Reddy Komirelli

I’m a software engineer with 4+ years of experience building cloud-native, distributed, and AI-powered backend systems. I work primarily with Java and Spring Boot to design secure REST APIs and microservices, and I’ve built event-driven architectures using Apache Kafka and AWS services. I also develop production-grade solutions using Retrieval-Augmented Generation (RAG) and agentic AI. At Amazon, I’ve integrated Amazon Bedrock with OpenSearch vector indexing and S3-based knowledge repositories to improve response relevance and factual consistency, while using CI/CD, Kubernetes, Docker, and observability tooling to keep systems reliable under high load.

Available to hire

I’m a software engineer with 4+ years of experience building cloud-native, distributed, and AI-powered backend systems. I work primarily with Java and Spring Boot to design secure REST APIs and microservices, and I’ve built event-driven architectures using Apache Kafka and AWS services.

I also develop production-grade solutions using Retrieval-Augmented Generation (RAG) and agentic AI. At Amazon, I’ve integrated Amazon Bedrock with OpenSearch vector indexing and S3-based knowledge repositories to improve response relevance and factual consistency, while using CI/CD, Kubernetes, Docker, and observability tooling to keep systems reliable under high load.

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Experience Level

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Work Experience

Software Engineer at Amazon
June 1, 2025 - Present
Engineered Java 21 and Spring Boot backend services for Amazon’s AI Shopping Assistant, integrating Hibernate/JPA with DynamoDB to enable AI-powered conversational product discovery and personalized recommendations across a 15M+ product catalog. Designed and integrated RAG pipelines using Amazon Bedrock, OpenSearch vector indexing, and S3 knowledge repositories to retrieve product specifications, reviews, and buying guides with improved relevance and factual consistency. Built asynchronous event-driven services using Apache Kafka, AWS Lambda, and Redis to process customer interactions and recommendation/session updates, reducing API response latency by 38% and increasing throughput during peak events. Optimized persistence and queries across Hibernate, DynamoDB, and RDS (PostgreSQL) to reduce query latency by 32%. Automated infrastructure and deployments with Terraform, Docker, EKS, and GitHub Actions, increasing release frequency. Improved reliability using CloudWatch dashboards, di
Software Engineer at Accenture
January 1, 2021 - July 1, 2023
Architected Java 11 and Spring Boot microservices for a digital banking platform, building REST APIs with Hibernate/JPA and PostgreSQL to support secure payment processing, account management, and transaction validation for 2M+ monthly transactions. Implemented asynchronous payment workflows using Java, Spring Boot, RabbitMQ, and PostgreSQL, reducing API latency by 35%. Strengthened security with Spring Security, OAuth 2.0, JWT authentication, and RBAC, securing 100+ REST APIs to meet enterprise compliance requirements. Improved ORM and database performance through advanced mapping, query optimization, indexing, and connection pooling, reducing DB response time by 30%. Containerized services with Docker and deployed to AWS-backed Kubernetes, improving scalability and reducing downtime during releases. Used Spring Cloud, OpenFeign, and Resilience4j for inter-service communication, circuit breakers, and retries to improve fault tolerance. Built unit and integration tests with JUnit and M

Education

Master of Science in Computer at Concordia University Wisconsin
January 1, 2025 - May 1, 2025
Master of Science in Computer at Concordia University Wisconsin
January 11, 2030 - May 1, 2025

Qualifications

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Industry Experience

Software & Internet, Financial Services, Healthcare, Professional Services