🚀 Full Stack Software Engineer with 5+ years of experience building scalable, high-performance applications using Java, Spring Boot, React, and cloud-native architectures across product companies.
Experience
2025 — Now
2025 — Now
San Francisco, California, United States
• Engineered scalable Java Spring Boot microservices powering merchant-facing APIs, reducing average response latency by 35% while supporting 10K+ concurrent users across high-traffic commerce workflows.
• Modernized legacy backend services into AWS cloud-native microservices using Spring Boot and containerized deployments, improving system scalability and reducing infrastructure costs by approximately 20%.
• Built AI-assisted merchant support features by integrating LLM-based intent detection services with backend APIs, improving response accuracy and increasing automation adoption across merchant workflows.
• Designed secure backend services with JWT-based authentication and role-based access control, ensuring reliable API protection while supporting scalable authentication for high-volume merchant applications.
• Developed RESTful APIs using Spring Boot with PostgreSQL and MongoDB for transactional and semi-structured data, improving query efficiency and ensuring reliable data processing for merchant operations.
• Implemented event-driven communication using AWS services and message queues, enabling asynchronous processing across distributed services and improving system reliability during high-traffic commerce events.
• Built responsive React + TypeScript front-end interfaces with modern HTML5 and CSS, improving user experience, page responsiveness, and accessibility for merchant dashboards and management tools.
• Deployed and monitored applications on AWS infrastructure, implementing logging, metrics collection, and health monitoring to ensure high availability and faster issue detection during peak usage periods.
• Applied Agile development and test-driven practices using JUnit and automated testing pipelines, improving code quality, reducing regression defects, and increasing team sprint delivery velocity.
2022 — 2023
2022 — 2023
India
• Developed Spring Boot microservices on Microsoft Azure Kubernetes Service (AKS), reducing campaign API latency by 35% while supporting scalable enterprise marketing workloads.
• Built dynamic Angular + TypeScript dashboards integrated with REST and GraphQL APIs, delivering real-time marketing analytics and increasing adoption by 40% among internal business teams.
• Modernized asset rendering pipelines using Azure Functions and containerized microservices, improving system scalability, reliability, and processing throughput across distributed enterprise marketing environments.
• Designed and implemented secure RESTful and GraphQL APIs for customer identity and campaign management services, enabling low-latency multi-tenant data exchange across SaaS marketing platforms.
• Automated CI/CD pipelines using Azure DevOps and Terraform, reducing manual deployment effort by 25% and enabling faster, reliable release cycles within Agile development environments.
• Strengthened data reliability using MySQL, Cassandra, and Apache Kafka, enabling fault-tolerant asynchronous communication for large-scale campaign processing workloads.
• Implemented advanced observability and monitoring using Prometheus, Grafana, Azure Monitor, and OpenTelemetry, reducing incident resolution time by 15% and improving production system visibility.
• Developed scalable Angular administrative portals with modular architecture, lazy loading, and reactive state management, significantly improving UI performance and internal user productivity.
• Collaborated with DevOps teams to automate infrastructure using Terraform and Azure Resource Manager (ARM), improving deployment consistency and environment reliability.
• Integrated LLM-based content analysis for AI-driven marketing insights, enabling campaign optimization while maintaining OAuth2, JWT, and enterprise security compliance.
2020 — 2022
2020 — 2022
India
• Developed Java and Spring Boot microservices for the IndianOil One platform, supporting 130M+ consumers and 12K distributors, reducing LPG booking processing time by 30%.
• Built and optimized RESTful APIs using Spring Boot to integrate distributor, booking, and payment services, improving data synchronization across backend systems and reducing response latency by 25%.
• Designed and implemented responsive user interfaces using React.js, HTML5, CSS3, and TypeScript, improving mobile usability and increasing user engagement by 20% across consumer-facing modules.
• Integrated enterprise backend services through REST APIs and Spring-based service layers, enabling real-time LPG booking updates, order tracking, and distributor inventory visibility.
• Deployed and managed microservices on IBM Cloud Kubernetes Service, improving application scalability, container orchestration efficiency, and overall system availability.
• Implemented secure authentication and authorization using OAuth2, OIDC, and JWT with Spring Security, ensuring secure access to microservices and protecting consumer transaction data.
• Collaborated with cross-functional engineering teams to deliver scalable cloud-based services on IBM Cloud, contributing to platform stability, performance optimization, and smooth production deployments.
Education
Saint Louis University