I specialized in end-to-end full-stack development using Java (8–21), Spring Boot, Microservices, Hibernate, Angular (16/18), React (16/17), and Node.js, along with modern cloud-native and distributed system architectures. Her expertise extends across AWS and Azure ecosystems, containerization (Docker, Kubernetes, EKS, AKS, OpenShift), CI/CD automation (Jenkins, GitHub Actions, Azure DevOps), and event-driven systems using Apache Kafka.
She has also worked extensively on AI/ML, GenAI, Agentic AI, and MLOps implementations, integrating intelligent automation, predictive analytics, and conversational systems into enterprise platforms. Her background includes designing scalable microservices, optimizing high-traffic systems, and modernizing legacy monolithic applications.
Key client experience includes:
Volkswagen Group of America – Built cloud-native telematics systems, real-time driving score engines, and AI-powered assistant features using Kafka, AWS, and GenAI.
Dassault Systèmes – Modernized legacy systems into microservices and developed scalable Angular/Spring Boot applications.
State Street Corporation – Developed secure, cloud-native microservices with React, Spring Boot, Azure, and Kafka for enterprise banking systems.
Credit One Bank – Built scalable full-stack banking applications with Java, Spring Boot, React, and AWS/Azure integration.
Pacific Life – Delivered enterprise Java applications using Spring, J2EE, Kafka, and distributed system design.
Genpact – Developed enterprise integration systems using Spring Boot, Groovy, and Java-based architecture.
Core strengths:
She brings strong expertise in building scalable microservices, cloud-native applications, and real-time data platforms, with a strong focus on performance optimization, security (OAuth2/JWT), and enterprise-grade system reliability. She has consistently delivered solutions supporting 100,000+ users, improving system performance, latency, and operational efficiency.
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