A Innovative Software Engineer with over 4 years of experience in building responsive web applications.
Hi, myself Shivananda Reddy Medida, a Computer Science graduate from the University of Cincinnati, I have over 4 years of experience as a Software Engineer, building and modernizing enterprise applications in financial and insurance industries.
Currently at State Farm Insurance, I engineer resilient Java and Spring Boot microservices, optimize AWS cloud infrastructure serving over 3.2M policyholders, and integrate AI-driven document automation (RAG). Previously at DMI Finance, I built core loan origination platforms, automated CI/CD pipelines, and optimized high-volume databases.
I thrive on solving complex system design challenges, taking end-to-end feature ownership, and delivering reliable software solutions built for performance and scale.
25
Khammam, Telangana
medidashivanandareddy@gmail.com
+1(513)399-0630
Java Full Stack Developer
Modernized core Java claims-processing microservices on AWS, reducing API response times by 64.4% (from 1.8s to 640ms) for 3.2M+ policyholders.
Designed and integrated an AI document summarization pipeline using Retrieval-Augmented Generation (RAG), cutting manual claims-review effort by 40%.
Enhanced system monitoring, tracing, and high-availability architecture across AWS EKS, significantly accelerating incident resolution and overall service uptime
JAVA FULL STACK DEVELOPER
Built scalable financial onboarding and loan origination backend services using Java 11, Spring Boot, JPA, REST APIs, and Kafka/RabbitMQ.
Streamlined PostgreSQL and Redis data synchronization pipelines, preventing ~$180K in annual reconciliation losses.
Automated end-to-end CI/CD workflows using Jenkins and Terraform, cutting deployment cycles from 3 days to under 6 hours while increasing test coverage to 89%.

A web-based e-commerce platform that allows users to browse products, add them to a cart, and complete purchases.

An interactive assistant that provides instant responses using AI models.

Highlighting its advanced query optimization through the Catalyst Optimizer.

Detecting the phishing websites by analyzing URL structures, security protocols, and domain identity.

To analyze market trends, Compares various classification algorithms for best accuracy and performance.

Identify individuals and determine mask compliance. Analyzes captured images to detect faces and classify mask usage in real-time.
I’m eager to join a visionary team where I can craft seamless digital experiences as a Front-end/Full Stack Developer/Data Analysis/Data Engineering Roles.