Full Stack Engineer with Cloud & Microservices Expertise

Gopalreddy Yarabolu

linkedin.com/in/gopalreddy-yarabolu **********.***@*****.*** +1-469-***-****

TECHNICAL SKILLS

Software Development Life Cycle (SDLC) with experience in Agile methodologies. Programming Languages: Java, JavaScript/TypeScript, Python, C/C++ Frontend Technologies: HTML, CSS, React.js, Angular, TypeScript Backend Technologies: Java Spring Framework, Spring Boot, Microservices architecture, Node.js, RESTful API

Databases: MongoDB, PostgreSQL, Oracle, JDBC

AI/ML: TensorFlow, Keras, NumPy, Pandas, Classification, Model Evaluation Tools and Cloud: Git, Docker, AWS (EC2, S3, Lambda), Azure, Kubernetes, Jenkins, CI/CD, Prometheus PROFESSIONAL EXPERIENCE

Goldman Sachs, Dallas, TX: Full Stack Engineer Sep 2024 - Present

Scaled trading platform by designing and implementing 30+ Spring Boot microservices with modular API contracts and Kafka-based event-driven architecture, reducing cross-service dependencies by 40% and enabling independent deployments with zero downtime.

Optimized React.js trader dashboard performance by 35% through implementation of lazy loading, React hooks optimization, and Web Workers, supporting 10K+ daily active users during peak trading hours.

Automated CI/CD pipelines using GitLab and Docker containerization, reducing deployment time by 50% (45 minutes to 22 minutes) while implementing 50+ integration tests to ensure system reliability.

United Health Group, New York, NY: Full Stack Engineer Aug 2023 – Aug 2024

Designed and deployed fault-tolerant AWS microservices architecture (EC2 auto-scaling, S3) for healthcare claims processing, reducing system downtime by 60% while handling 5M+ monthly claims with 99.9% availability.

Implemented real-time data processing pipeline using Apache Kafka and Node.js consumers, achieving consistent throughput of 2K+ messages per second at 99.9% uptime for critical patient notifications.

Led Angular UI modernization effort for provider portal, implementing reactive forms and component optimization that improved workflow efficiency by 25%, reducing average onboarding time from 45 to 34 minutes.

Credit Suisse, North Carolina: Java Full Stack Developer Jan 2023 – Jun 2023

Optimized AWS Lambda workflows for trading data processing by implementing cold-start prevention techniques and Java stream processing, reducing latency from 17s to 12s (30% improvement) for 60K+ daily transactions.

Migrated legacy monolithic APIs to Spring Boot microservices with HikariCP connection pooling and Docker containerization, improving throughput by 20% during peak trading volumes. 7Fin Corp Group, India: Java Developer Aug 2019 – Dec 2021

Designed and implemented low-latency Spring Boot APIs handling 10K+ requests per minute with 99.95% uptime for financial transactions, utilizing circuit breaker pattern for fault tolerance.

Orchestrated microservices using Azure Kubernetes (AKS) with auto-scaling capabilities, reducing infrastructure costs by 15% while maintaining system performance during traffic spikes. PROJECTS

AI Fraud Detection System

Developed high-accuracy fraud detection system using TensorFlow (95% accuracy) with AWS Lambda for real-time processing at 500+ transactions per second, reducing manual review workload by 70% and saving $500K annually in operational costs.

Implemented feature engineering with pandas to handle imbalanced datasets, improving model precision by 15%, and deployed solution using Docker containers with GitLab CI/CD for automated testing and deployment.

Real-Time Chat Application

Engineered serverless chat application supporting 1K+ concurrent users with <100ms latency using AWS API Gateway and WebSocket protocol, adopted by 12 departments for internal communications.

Implemented secure communication with JWT authentication (Auth0) and AES-256 message encryption, ensuring data privacy and compliance with organizational security standards. EDUCATION

Master’s in computer science

University of Central Missouri, GPA: 3.8/4

Relevant course work: Algorithms, Distributed Systems, Cloud Computing, Machine Learning Bachelor’s in computer science and engineering

Hindustan University, GPA: 9.5/10

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