// Full Stack Engineer · Milwaukee, WI · Open to Relocate

Krishna
Sai
Talluri

Building AI-driven enterprise systems with Java, Spring Boot, React, and AWS. 5+ years shipping full-stack products that process 500K+ daily transactions at 99.9% uptime.

Years

500K

Daily Txns

35%

Review Reduction

3×

AWS Certified

View My Work Get In Touch

// Contact & Links

📧

tallurikrishnasai676@gmail.com

talluri-krishna-sai-4a7917123

📍

Location

Milwaukee, WI · Open to Remote & Relocate

// Core Stack

Java 17 Spring Boot React.js Angular Python AWS Kubernetes GenAI LLM Integration Microservices

01 —

Technical Skills

⚛️

Frontend

React.jsAngular TypeScriptJavaScript ES6+ Material UIRedux HTML5 / CSS3Bootstrap SPAResponsive Design

☕

Backend

Java 17Spring Boot Spring CloudSpring MVC PythonDjango / DRF Hibernate / JPAMicroservices GraphQLREST APIs

🤖

AI & Data

Predictive AnalyticsAnomaly Detection GenAILLM Integration Prompt EngineeringRAG AI Scoring SystemsClaude Code Cursor AI

☁️

Cloud & DevOps

AWS EC2/S3/RDS/LambdaDocker KubernetesTerraform JenkinsGitHub Actions OpenShiftCI/CD AzureAnsible

🗄️

Databases

PostgreSQLMySQL MongoDBRedis ElasticsearchCassandra OracleAdvanced SQL

⚡

Messaging & Observability

Apache KafkaRabbitMQ Event-Driven ArchELK Stack PrometheusGrafana SplunkCloudWatch

02 —

Work Experience

Full Stack Engineer — AI & Claims Platform

CVS Health

Aug 2024 – Present · TX, Remote

Current

Led end-to-end development of an AI-driven healthcare claims risk platform — predictive analytics, real-time anomaly detection, and ML-based scoring pipelines — reducing manual reviews by 35% and accelerating adjudication by 40%.
Owned full feature delivery across React/Angular frontends and Java/Spring Boot backends — data model design, API development, and polished UI delivery with complete end-to-end ownership.
Built high-performance Java 17 backend services with multithreaded processing, improving throughput by 25% and supporting concurrent validation of 500,000+ daily claim transactions.
Architected resilient Spring Boot + Spring Cloud microservices achieving 99.9% uptime via service discovery, auto-scaling, and load balancing across high-volume healthcare pipelines.
Built responsive React + Angular dashboards using Material UI with real-time risk visualization, role-based access, and sub-second load performance — boosting analyst productivity by 30%.
Engineered event-driven async communication using RabbitMQ for real-time fraud alerts and audit trail propagation across distributed services.
Orchestrated Docker + Kubernetes deployments on AWS with rolling updates and auto-scaling — reducing deployment time by 40% at 500K+ daily transactions.
Actively used Claude Code and Cursor AI to accelerate feature delivery and iterate rapidly on product requirements.

↓35% Manual Reviews ↑40% Faster Adjudication 500K+ Daily Transactions 99.9% Uptime ↑30% Analyst Productivity ↓40% Deployment Time

Associate — Full Stack Developer

Cognizant Technology Solutions

Aug 2022 – Jul 2023 · Hyderabad, India

Refactored legacy monolithic systems into modular Spring Boot microservices, enabling seamless REST API integration and improving maintainability across enterprise applications.
Redesigned DAO and Controller layers using Java, Spring, and MySQL — eliminating redundant queries and enforcing transaction consistency with DBA collaboration.
Deployed applications on AWS EC2 and S3, configured CloudWatch alerts, and authored operational runbooks for stable, documented production releases.
Automated CI/CD pipelines with Jenkins and Git, reducing manual release effort and improving version consistency across project streams.
Collaborated in Agile/Scrum ceremonies using Jira — sprint planning, backlog grooming, retrospectives — ensuring alignment and timely delivery.

Programmer Analyst

Cognizant Technology Solutions

Feb 2021 – Aug 2022 · Hyderabad, India

Built responsive frontend components using HTML, CSS, and JavaScript integrated with Spring REST APIs, delivering real-time reporting interfaces for internal business users.
Built Postman API regression test collections ensuring consistent validation across multiple backend services.
Produced design diagrams, architecture documentation, and database schemas enabling fast onboarding and reduced senior developer dependencies.

03 —

Key Projects

PROJECT 01

AI Claims Risk Scoring Engine

Designed and implemented a real-time scoring algorithm evaluating 500,000+ daily healthcare claims against fraud, risk, and compliance rules — outputting ranked risk scores surfaced in the Angular/React dashboard. Combined rule-based decision flows, anomaly thresholds, and weighted ML scoring logic in production.

Java 17Spring Boot Predictive AnalyticsAnomaly Detection RabbitMQPostgreSQL AngularReact

PROJECT 02

Responsive Analytics Dashboard

Built a full-featured analytics dashboard using React.js and Material UI with real-time data updates, role-based access control, responsive layouts, and carefully tuned performance. Sub-second load times under heavy data loads with clean, polished UX throughout.

React.jsMaterial UI TypeScriptRedux REST APIsSpring Boot

PROJECT 03

Cloud-Native Microservices Platform

Architected and deployed a resilient microservices system with Spring Cloud for healthcare claims processing — service discovery, auto-scaling, load balancing, and event-driven communication via RabbitMQ — achieving 99.9% uptime on Kubernetes/AWS infrastructure.

Spring CloudKubernetes DockerAWS RabbitMQTerraform

PROJECT 04

Legacy Modernization — Microservices Migration

Refactored a monolithic enterprise application into modular Spring Boot microservices at Cognizant, enabling seamless cross-system REST API integration, improving maintainability, and unlocking independent deployment of services — a full enterprise modernization effort.

Spring BootJava MySQLJenkins AWS EC2/S3REST APIs

04 —

AI Capabilities

Building AI-Powered Systems in Production

At CVS Health, I built production AI systems — not just used AI tools. My claims risk platform uses real ML scoring pipelines, anomaly detection thresholds, and real-time decision flows that process half a million transactions daily.

I'm actively deepening expertise in Generative AI, LLM integration, and RAG architectures to extend enterprise platforms with context-aware intelligence.

🎯

Predictive Analytics & Anomaly Detection

Production ML scoring pipeline at CVS Health — 500K+ daily claims

🧠

Generative AI & LLM Integration

GenAI application development, prompt engineering, RAG architectures

🔄

AI Pipeline Development

Rule-based decision flows, weighted scoring, real-time inference

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AI Coding Tools — Claude Code, Cursor

Accelerating feature delivery and debugging complex logic daily

📊

Machine Learning Integration

Integrating ML models into Spring Boot / Java enterprise backends