Goutham Yadhav

Full Stack Java Developer with 5+ years of experience designing, developing, and deploying scalable enterprise applications using Java, Spring Boot, Golang, React.js, and TypeScript across retail, banking, healthcare, and e-commerce domains. Strong expertise in microservices architecture, distributed systems, RESTful APIs, gRPC services, and event-driven applications using Apache Kafka, delivering high-performance, scalable, and resilient solutions. Experienced in developing AI-powered applications and integrating OpenAI, Spring AI, Large Language Models (LLMs), intelligent recommendation systems, and natural language search capabilities into modern enterprise platforms.

Hands-on experience with cloud-native technologies including AWS, Kubernetes, Docker, Jenkins, and GitHub Actions, enabling automated CI/CD pipelines, scalable deployments, and reliable production operations. Proficient in PostgreSQL, MySQL, MongoDB, Cassandra, and Redis with expertise in database design, performance optimization, caching strategies, and large-scale data processing. Strong understanding of software engineering principles, system design, Agile methodologies, and best practices, with a proven ability to deliver secure, maintainable, and business-focused software solutions.

Software Developer at Ahold Delhaize (2024-05 – Present)

Project: AI-Powered Retail Pricing & Inventory Management Platform

• Developed and maintained AI-powered full-stack enterprise applications using Java 17, Spring Boot, React.js, and TypeScript to support customer-specific pricing, inventory management, product catalog management, and order fulfillment processes.
• Designed, developed, and deployed scalable microservices using Spring Boot, Spring MVC, Spring Data JPA, and Hibernate following microservices architecture principles, design patterns, and distributed system best practices.
• Built and integrated RESTful APIs and gRPC services to enable secure, high-performance communication between frontend applications, backend services, third-party platforms, and enterprise business systems.
• Integrated OpenAI APIs and Spring AI to build AI-powered product recommendations, natural language search, and conversational assistants for retail applications.
• Developed event-driven architectures using Apache Kafka, implementing producers, consumers, message streaming, and asynchronous processing workflows to support real-time business operations across distributed systems.
• Collaborated with data science teams to integrate ARIMA, SARIMA, and LSTM-based forecasting models into retail applications for demand forecasting and inventory planning.
• Designed and optimized PostgreSQL schemas, SQL queries, indexing strategies, and Redis caching solutions to improve application performance and support high-volume retail transactions.
• Containerized applications using Docker and deployed microservices on Kubernetes with auto-scaling, rolling deployments, and high-availability configurations.
• Implemented authentication and authorization using Spring Security, OAuth 2.0, JWT, and role-based access control (RBAC) to secure enterprise applications and APIs.
• Leveraged Spring Data JPA and Hibernate to implement efficient data persistence, lazy loading, entity mapping, and transaction management for scalable retail microservices.

Software Engineer at First Texas Bank (2022-08 – 2024-04)

Project: Real-Time Banking Transactions & Payment Processing Platform

• Engineered scalable backend microservices using Golang, Java, and Spring Boot to support real-time banking transactions, payment processing, account management, and financial service operations.
• Designed and developed RESTful APIs and gRPC services to enable secure and low-latency communication between payment processing, fraud detection, customer account, and transaction management systems.
• Leveraged Golang Goroutines, channels, and concurrent programming techniques to efficiently process high-volume financial transactions while maintaining data consistency and system reliability.
• Developed event-driven solutions using Apache Kafka and AWS Lambda to support real-time payment processing, fraud detection, transaction notifications, and asynchronous banking workflows.
• Optimized Cassandra data models, query performance, and Redis caching strategies to support high-volume banking transactions and improve application responsiveness.
• Containerized microservices using Docker and deployed applications on Kubernetes and AWS cloud infrastructure with auto-scaling, rolling deployments, and high-availability configurations.
• Implemented secure authentication and authorization using OAuth 2.0, JWT, role-based access control (RBAC), and encrypted service-to-service communication for banking applications.
• Developed CI/CD pipelines using Jenkins, GitLab CI while automating deployment processes, production job scheduling, dependency management, and batch workflows using TIDAL to improve software delivery and operational efficiency.
• Collaborated with business analysts, QA engineers, DevOps teams, and stakeholders in Agile Scrum environments to deliver secure, scalable, and regulatory-compliant banking applications while supporting production releases and system stability.

Java Developer at Pristyn Care (2020-04 – 2021-07)

Project: Healthcare Patient Management & Clinical Scheduling Platform

• Developed enterprise healthcare applications using Java, Spring Boot, Spring MVC, and Hibernate to support patient registration, appointment scheduling, billing management, clinical workflow automation, and secure RESTful API integration with insurance providers, notification services, and patient management systems across multiple healthcare facilities.
• Built microservices-based healthcare applications using Spring Cloud, service discovery, centralized configuration, and inter-service communication to support scalable clinical workflows.
• Optimized MySQL and MongoDB queries, indexing strategies, and database performance to improve application responsiveness and support concurrent healthcare operations.
• Utilized Java Multithreading, Collections Framework, and Streams API to process patient, appointment, and billing data efficiently within healthcare applications.
• Implemented enterprise-grade security using Spring Security, OAuth 2.0, JWT authentication, and role-based access control to protect sensitive patient information and comply with healthcare data security standards.
• Developed real-time communication features using WebSockets to provide appointment updates, patient notifications, status tracking, and live healthcare workflow monitoring capabilities.
• Deployed and managed cloud-based healthcare applications on AWS using EC2, RDS, S3, Lambda, and CloudWatch services while ensuring application scalability, reliability, and operational efficiency.
• Developed unit and integration tests using JUnit, Mockito, and Spring Test while participating in code reviews, production support, and Agile Scrum development activities.

Master of Science in Computer Science – University of North Texas (2022-12)

Bachelor of Technology in Computer Science and Engineering – ACE Engineering College (2020-03)