Highly accomplished Senior Java Full Stack Developer with over 10+ years of extensive experience designing, developing, and deploying enterprise-grade web and cloud applications across Financial Services, Healthcare, and Retail domains. Expert in building microservices-based architectures, cloud-native solutions on AWS and Azure, and dynamic front-end applications using Angular and React, ensuring high performance, scalability, and maintainability. Proven track record in integrating AI/ML and GenAI capabilities for predictive analytics, intelligent automation, and personalized customer solutions while adhering to best practices, security standards, and Agile methodologies. Adept at leading cross-functional teams, mentoring junior developers, and delivering end-to-end solutions with strong emphasis on CI/CD, DevOps automation, and observability. Designed and implemented full-stack enterprise applications leveraging Java 21, Spring Boot, and RESTful APIs, enabling highly scalable financial services solutions with modular and maintainable architecture. Developed responsive front-end applications using Angular 18+ and React 18, integrating backend services and optimizing performance for seamless user experiences across multiple browsers and devices. Built cloud-native solutions on AWS and Azure, utilizing EC2, Lambda, S3, RDS, AKS, and App Services, achieving automated deployment, high availability, and robust infrastructure management. Integrated AI/ML models and GenAI solutions into enterprise applications for predictive analytics, credit risk scoring, document summarization, and intelligent chatbots, enhancing decision-making and automation. Implemented microservices-based architecture with Spring Cloud, Docker, and Kubernetes, enabling independent service scaling, fault tolerance, and simplified CI/CD integration for multi-domain applications. Designed and maintained CI/CD pipelines using Jenkins, GitHub Actions, and Azure DevOps, ensuring continuous integration, automated testing, and zero-downtime deployments across all environments. Applied MLOps best practices for deploying, monitoring, and retraining machine learning models, ensuring model reliability, high availability, and lifecycle management in production systems. Developed secure authentication and authorization frameworks using JWT, OAuth2, and Spring Security, ensuring enterprise-grade compliance and protection of sensitive financial and healthcare data. Optimized backend performance using multithreading, caching strategies, and database query tuning with MySQL, PostgreSQL, Redis, and MongoDB, delivering low-latency responses for high-volume applications. Implemented automated testing strategies with JUnit, Mockito, Jasmine, and Karma, ensuring high-quality deliverables, defect-free releases, and adherence to TDD/BDD methodologies. Collaborated with cross-functional teams in Agile/Scrum environments, translating business requirements into robust technical solutions, performing code reviews, and mentoring junior developers on best practices. Developed and maintained ETL pipelines using Python, Pandas, and NumPy, integrating AI/ML models into enterprise workflows, enabling faster data processing and actionable insights delivery. Integrated modern DevOps monitoring and observability tools such as CloudWatch, ELK Stack, Prometheus, and Grafana, proactively identifying bottlenecks and improving system reliability and performance. Refactored legacy applications and implemented modern frameworks, patterns, and serverless architectures, enhancing maintainability, performance, and alignment with current market standards. Led design and development of real-time streaming applications using Kafka and WebSocket, improving operational monitoring, notifications, and data-driven insights for business-critical systems. Delivered enterprise applications using full-stack Java, Angular, and React technologies across multiple domains, ensuring scalability, security, and performance while incorporating cloud-native and AI-enabled features. Championed adoption of emerging technologies including GraphQL, Azure Functions, AWS SageMaker, and AKS, driving innovation and maintaining competitive advantage across enterprise digital platforms.
April 2025 — Till Now
Stamford, Connecticut
Synchrony Financial
Nov 2022 — March 2025
Nashville, TN
HCA Healthcare
Jan 2019 — Oct 2022
Mooresville, NC
Lowe's
Mar 2017 — Sept 2018
Hyderabad, India
ValueLabs
July 2015 — Feb 2017
India
YASH Technologies
Aug 2011 — May 2015
SRM University