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Jaivik Patel

@jaivikpatel

Message

I build scalable banking and insurance applications with Java, Spring Boot, and React.

United States

Message

At Capital One, I architect Java and Spring Boot microservices for digital banking workflows, improving API response times by 20% across targeted workflows. I also build React applications and event-driven services using Kafka and AWS.

Previously at MetLife, I modernized insurance applications into REST-based microservices, reducing targeted processing latency by 18%. I standardized containerized deployments with Docker, Kubernetes, and Jenkins, reducing deployment effort by 30%.

I bring 7+ years of experience across banking and insurance, including Java, Python, cloud-native delivery, machine learning pipelines, and enterprise GenAI prototypes using LLMs and RAG.

Experience

Work history, roles, and key accomplishments

Current

Full Stack Developer

Current

Capital One

Apr 2024 - Present (2 years 6 months)

Architected Java and Spring Boot microservices for digital banking workflows, integrating REST APIs, Apache Kafka, and AWS services. Engineered React.js applications and containerized services with Docker and Kubernetes, improving API response times and frontend development efficiency.

Java Spring Boot React JavaScript REST APIs Kafka AWS Docker Kubernetes Python Machine Learning GenAI LLM RAG

Software Developer

MetLife

Oct 2020 - Mar 2024 (3 years 5 months)

Modernized Java and Spring Boot applications for insurance workflows, decomposing monoliths into REST-based microservices. Developed React.js and Angular frontends, integrated Kafka messaging, and automated CI/CD pipelines with Jenkins, reducing deployment effort by 30%.

Java Spring Boot React Angular REST APIs Kafka Docker Kubernetes Jenkins CI CD AWS Azure

Associate Software Developer

PNC

Aug 2019 - Sep 2020 (1 year 1 month)

Built Java and Spring-based REST APIs for banking applications, implementing business logic and SQL integrations. Developed Angular components and automated build/deployment workflows with Jenkins, improving API processing efficiency by 15%.