SDE with 4+ years of industry experience building scalable backend services, event-driven architectures, and responsive front-end apps in cloud-native environments.
Led migration from legacy .NET systems to microservices in Java 17, deployed on AWS ECS using Spring Boot and PostgreSQL, reducing latency by 50%.
Designed and implemented real-time data pipelines using Kafka and FastAPI, and built fully containerized deployments with Docker and Terraform.
Developed secure, FHIR-compliant APIs for healthcare systems, optimized CI/CD pipelines (Jenkins), and delivered resilient systems for 1000+ deployments.
Built cloud-first apps with ReactJS + NodeJS, and worked on low-latency, highly available systems at scale (e.g., music streaming & transit analytics).
Published deep RL research at ICLR 2025 and recently contributed to AI modeling using PyTorch + TensorFlow.
Seeking backend or full-stack roles where I can architect reliable systems, optimize APIs, and ship scalable features in production.
Remote: Yes
Willing to relocate: Yes
Technologies: Java, Python, Spring Boot, AWS (ECS, Lambda), Kafka, PostgreSQL, ReactJS, TypeScript, Next.js, Docker, Kubernetes, CI/CD, REST, FastAPI
Résumé/CV: https://www.linkedin.com/in/vidyavarshinihj/
Email: hjvidyavarshini [at] gmail [dot] com
SDE with 4+ years of industry experience building scalable backend services, event-driven architectures, and responsive front-end apps in cloud-native environments.
Led migration from legacy .NET systems to microservices in Java 17, deployed on AWS ECS using Spring Boot and PostgreSQL, reducing latency by 50%.
Designed and implemented real-time data pipelines using Kafka and FastAPI, and built fully containerized deployments with Docker and Terraform.
Developed secure, FHIR-compliant APIs for healthcare systems, optimized CI/CD pipelines (Jenkins), and delivered resilient systems for 1000+ deployments.
Built cloud-first apps with ReactJS + NodeJS, and worked on low-latency, highly available systems at scale (e.g., music streaming & transit analytics).
Published deep RL research at ICLR 2025 and recently contributed to AI modeling using PyTorch + TensorFlow.
Seeking backend or full-stack roles where I can architect reliable systems, optimize APIs, and ship scalable features in production.