Sireesha Devalla

Senior Software Engineer - United Services Automobile Association (USAA), United States
LinkedIn  |  Google Scholar   |  ResearchGate

Sireesha Devalla is a Senior Software Engineer and researcher specializing in cloud-native architectures, enterprise microservices, and applied artificial intelligence. Her work centers on designing and optimizing large-scale distributed systems using Java, Spring Boot, Kubernetes, AWS, and modern observability and telemetry frameworks. She has contributed to research in microservices performance, GraphQL optimization, resilience engineering, serverless computing, and intelligent autoscaling.

Sireesha Devalla’s current research explores how machine learning and Generative AI can be applied to improve system reliability and developer productivity. This includes work on anomaly detection, predictive monitoring, AI-assisted DevOps, LLM-based code generation, schema automation, and retrieval-augmented generation (RAG) pipelines for enterprise environments.

Sireesha Devalla actively serves as a peer reviewer for multiple international journals in software engineering, cloud computing, and AI. Her goal is to bridge practical industry experience with academic research by advancing modern approaches to scalable architectures, intelligent automation, and high-performance software engineering.

JRTCSE is proud to award this certificate of achievement to Sireesha Devalla (Reviewer ID: JRTCSE_23EBMSK154) in recognition of her exceptional service as a peer reviewer.

This award signifies her commitment to scholarly excellence through the consistent delivery of high-quality, insightful, and timely reviews, which are crucial for maintaining the academic rigor and integrity of JRTCSE.