VAMSHI KRISHNA S
Senior Java Backend / Full Stack Developer Spring Boot Microservices AI Engineering Hyderabad, India +91-903******* ***********@*****.*** PROFESSIONAL SUMMARY
Senior Software Engineer with 5+ years of experience designing and developing scalable enterprise applications using Java, Spring Boot, Microservices, Kafka, and PostgreSQL. Experienced in building high-volume FinTech payment platforms supporting SWIFT, SEPA, ACH, Wire Transfers, and Digital Wallet solutions. Strong expertise in Distributed Systems, Event-Driven Architecture, REST APIs, Spring Security, and Cloud-Native Development using AWS, Docker, and Kubernetes. Most recently developed AI-powered enterprise automation platforms leveraging Spring AI, RAG, and LLM integrations. Proven track record of delivering secure, high-performance applications, optimizing system scalability, and developing robust solutions across FinTech, Healthcare, and AI domains. CORE TECHNICAL SKILLS
Languages: Java 8/11/17/21, SQL, JavaScript
Backend & Frameworks: Spring Boot, Spring Cloud, Spring Security, Spring Data JPA, Hibernate, Spring AI Messaging & Integration: Apache Kafka, OpenFeign, Eureka, REST APIs, Corda Blockchain, Kong API Gateway Databases & Caching: PostgreSQL, MySQL, MongoDB, Redis Cloud & DevOps: AWS, Docker, Kubernetes, Jenkins CI/CD, Git AI Engineering: Spring AI, RAG (Retrieval-Augmented Generation), OpenAI/LLM integration, ChatGPT, Claude Code, Cursor, Antigravity Full Stack (Supporting): React.js, Node.js, Express.js, MongoDB (basic working exposure) Testing & Monitoring: JUnit, Mockito, ELK Stack, Prometheus PROFESSIONAL EXPERIENCE
IdeyaLabs Senior Software Engineer Apr 2025 – Jul 2026 Project: AI QA Agent Platform
• Designed and developed an enterprise AI-powered QA Agent platform automating test case generation, execution, validation, and reporting using Java 17, Spring Boot, and Spring AI.
• Built intelligent test-generation and validation workflows using Retrieval-Augmented Generation (RAG) and OpenAI-based LLM integrations.
• Developed Kafka-based asynchronous orchestration for scalable QA execution pipelines, improving test-cycle throughput.
• Implemented Redis caching and PostgreSQL query optimizations to improve application performance.
• Designed secure REST APIs for AI workflow orchestration and enterprise system integrations.
• Leveraged ChatGPT, Claude Code, Cursor, and Antigravity to accelerate development, debugging, code reviews, and technical documentation.
• Containerized services using Docker and Kubernetes and participated in CI/CD pipeline delivery.
• Collaborated with frontend developers, contributing basic React.js, JavaScript, Node.js, and MongoDB components for internal dashboards and tooling.
Project: Coyni Enterprise Payment Platform
• Developed enterprise payment-processing microservices supporting international payment networks including SWIFT, SEPA, ACH, and Wire Transfers.
• Built Kafka-based event-driven transaction processing services for high-volume payment workflows.
• Implemented secure authentication and authorization using JWT, OTP, and KYC verification workflows.
• Integrated Corda Blockchain for secure, tamper-resistant financial transaction processing.
• Built REST APIs for payment processing, account management, and partner integrations.
• Optimized PostgreSQL queries and transaction handling to support high-volume concurrent processing.
• Integrated Spring Cloud, Eureka, and OpenFeign for resilient inter-service communication.
• Followed secure coding practices, Agile methodologies, Git workflows, and CI/CD deployment processes; supported production releases and performance tuning.
Avya IT Pvt Ltd Software Developer Mar 2021 – Mar 2025 Project: SafeFlow – Intelligent Digital Wallet
• Developed secure peer-to-peer digital wallet microservices processing 100,000+ daily transactions.
• Built a Kafka-based fraud-detection pipeline to flag suspicious transaction patterns in real time.
• Deployed and managed services using Docker, Kubernetes, and Kong API Gateway for scalable, secure request routing. Project: CloneSeq Medical Platform
• Developed REST APIs and optimized backend workflows for a healthcare data platform.
• Reduced database load by 60% through query tuning, indexing, and caching strategies. EDUCATION
Bachelor of Science (B.Sc.) — Palamuru University