Senior Software Engineer

• Engineered an AI Ticket Resolution Assistant using AWS Bedrock (Claude), embeddings, and agent-driven workflows to automate investigation, produce evidence-backed RCA summaries, and reduce triage time.
• Developed a Retrieval-Augmented Generation (RAG) pipeline for engineering/support Q&A from internal knowledge sources, improving answer correctness by 22% and reducing investigation time by 45%.
• Implemented an embedding + vector search retrieval layer with chunking, metadata filters, and freshness-aware retrieval, enabling sub-2s p95 responses across 25K+ documents/log snippets/runbooks.
• Fine-tuned an internal LLM using LoRA on domain engineering/support Q&A and runbook content, improving response accuracy and reducing unsupported answers while keeping training cost low by updating only lightweight adapter layers.
• Operated over 2 million transactional emails/day via scalable microservices integrated with AWS SES, Kafka, and SQS, ensuring 99.9% reliable, event-driven communication.
• Deployed 6+ resilient microservices on AWS and OpenShift (OCP), with 3-layer failover, compliance checks, and delivery logic that improved throughput by 30%.
• Migrated legacy monolithic workflows to modular, cloud-native microservices architecture on AWS and OCP, reducing code complexity by 40% and improving system scalability and maintainability.
• Owned On-call operations and production readiness for 6+ microservices, building dashboards and alerts, maintaining runbooks, and leading incident triage and resolution to meet reliability SLAs.

Software Developer

• Led the design and development of Oracle Cloud University web application, incorporating advanced features and catalyzing a surge of 12,000 new monthly users.
• Launched an ML-driven content recommendation feature for Oracle Cloud University, leveraging user activity signals to personalize course suggestions, improving course discovery and increasing content engagement by 20%.
• Refactored from a monolith to microservices, reducing response time from 800ms to 200ms and cutting downtime by 60%.
• Integrated RESTful APIs with OAuth2 tokens and JWT for secure authentication, and utilized Java multithreading for asynchronous request processing, enhancing system responsiveness by 30%.
• Built end-to-end observability and reliability improvements for Oracle Cloud University services by adding structured logging, dashboards, and alerting, reducing incident triage time by 35% and improving production stability.

Software Developer

• Spearheaded a user-friendly web application for NASCO from the ground up using Java and Spring Boot, garnering positive feedback from 9 out of 10 end-users for intuitive design and functionality
• Designed and developed REST-based Microservices using Spring Boot, resulting in a 20% reduction in response time for API calls
• Implemented Docker and Jenkins CI/CD pipeline, cutting deployment time by 40% and boosting delivery efficiency by 25%, enhancing project productivity
• Incorporated a logging framework in 8 system modules to troubleshoot crash-prone areas and created a CLI command to log transaction details.

Software Engineer

• Co-ordinated responsive single-page Ancestry web applications using Java, Spring Boot, Angular, and TypeScript, resulting in a notable 2x increase in user interactions and a 20% reduction in server response time
• Enhanced both front-end and back-end systems, reducing page load times by 35% and improving overall user experience by integrating advanced caching strategies and optimizing data-fetching techniques.

Southern University and A & M College

CGPA: 4/4

Kakatiya University

CGPA: 8.5/10