Open to opportunities

Deepthi User

@deepthiuser6

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Full Stack Engineer delivering cloud-native, low-latency microservices and AI-ready platforms.

United States

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What I'm looking for

I’m looking for a cloud-native, Agile team where I can build secure, low-latency microservices, improve performance with caching and event streaming, and ship AI-ready features in production—owning reliability, observability, and CI/CD.

I’m a Full Stack Engineer with 5+ years building high-performance, cloud-native applications across fintech, e-commerce, and enterprise environments. I develop scalable microservices and distributed systems with Java/Spring Boot and Node.js, and I focus on secure, low-latency production workloads in Agile teams. I also integrate AI features—using Python, FastAPI, RAG, and LangChain—to deliver contextual document retrieval for real business use cases.

Recently at JPMorgan Chase & Co., I improved transaction throughput by optimizing SQL, caching with Redis, and event streaming with Kafka, while deploying with AWS ECS/Kubernetes/Docker and Terraform. Earlier roles included building AR-enhanced customer experiences at Wayfair and designing secure, multi-tenant APIs and CI/CD on Azure, driving measurable latency and release-cycle reductions.

Experience

Work history, roles, and key accomplishments

Current

Software Engineer

Current

JPMorgan Chase & Co.

Sep 2025 - Present (9 months)

Developed scalable backend microservices for financial transaction workflows using Java, Spring Boot, Node.js, and PostgreSQL, enabling secure, low-latency processing. Optimized performance with Redis caching, Kafka, and SQL tuning to reduce API latency by 30% and improve transaction throughput.

Java Spring Boot PostgreSQL Kafka Redis AWS ECS Kubernetes Terraform fastAPI

Software Engineer

Wayfair

Jan 2025 - Aug 2025 (7 months)

Built full-stack features and microservices with Java, Node.js, and GraphQL to power personalized e-commerce experiences. Improved AR shopping performance with React/Redux/WebGL (25% higher customer engagement) and reduced page load times by 40% using reusable components, lazy loading, and code splitting.

WebGL Kubernetes Java Node GraphQL React Redux TypeScript Angular Material UI

Software Engineer

Commonwealth Bank

Aug 2022 - Dec 2022 (4 months)

Delivered low-latency financial microservices using Java, Spring Boot, and Kafka on Microsoft Azure to support real-time loan, mortgage, and credit data synchronization. Reduced API response times by 28% via SQL optimization, indexing, and Redis caching, and shortened release cycles by 35% with Jenkins, Docker, and blue-green deployments.

Java Spring Boot Kafka Microsoft Azure OAUTH2 SQL Optimization Redis MongoDB Jenkins

Software Engineer

Western Digital

Nov 2018 - Jul 2022 (3 years 8 months)

Designed and deployed production-grade microservices and REST APIs using Java, Spring Boot, and Hibernate to improve enterprise system integration and robustness. Built real-time event streaming pipelines with Kafka on AWS EKS (plus analytics with Snowflake) and strengthened reliability with JUnit/Mockito testing and production observability (Elasticsearch, Prometheus, Grafana, Kibana).