United States
An accomplished Software Engineering professional with deep expertise in building scalable, cloud-native backend systems across AWS and GCP. The journey began with mastering Java, Spring Boot, and distributed service development, gradually evolving into architecting high-performance microservices, serverless applications, and real-time event-driven platforms. Over the years, this expertise has expanded across modern backend ecosystems ranging from microservices, REST API design, GraphQL, and caching architectures, to containerized deployments using Docker and Kubernetes. Proficient in optimizing large-scale production systems through SQL tuning, Redis-based acceleration, Kafka-driven streaming, and ELK-powered observability. A strong foundation in engineering excellence has been shaped through impactful roles at Paytm, Tata 1mg, and Capital One delivering fault-tolerant systems supporting millions of users, reducing operational costs, hardening security, and enabling high-velocity CI/CD automation with Jenkins, Terraform, and cloud-native tooling. Having led cross-functional teams, modernized legacy monoliths into microservices, and engineered platforms that withstand high concurrency and strict SLAs, this professional brings a blend of hands-on coding depth and architectural vision. The ability to pair technical mastery with product-driven thinking makes this engineer a key contributor to high-scale backend systems, cloud transformation initiatives, and modern digital platform engineering consistently driving reliability, performance, and business value.
Architected financial account lifecycle services on AWS (Lambda, DynamoDB, Glue) supporting millions of customers across QuickBooks, TurboTax, and ProConnect Built an event-driven reconciliation platform processing 10,000+ financial transactions daily — cut cloud infrastructure costs by 90% Engineered LLM-powered financial assistant using AWS Bedrock, OpenAI APIs, and RAG, reducing manual customer support intervention Reduced API latency by 40% through distributed caching with Redis and DynamoDB across customer-facing services Built fault-tolerant microservices with Java, Node.js, and Kafka implementing circuit breaker and retry patterns for high-volume payment workflows Designed BFF APIs using Node.js, GraphQL, and TypeScript supporting IRS and financial regulatory compliance across multiple products Led modernization of legacy financial apps into containerized microservices using Docker and Kubernetes Mentored 2+ engineers through architecture reviews, code walkthroughs, and technical documentation
Built RESTful APIs and middleware services using Java, Spring Boot, and Node.js, integrating SAP SD and billing systems with modern web platforms for enterprise retail and manufacturing clients Reduced transaction processing delays by 30% by implementing asynchronous job processing with Apache Kafka and Redis queues for batch billing workflows Cut release cycle time by 25% by automating CI/CD pipelines using Jenkins, GitLab CI, and Docker across deployment environments Designed ETL pipelines and SQL reporting services using Python, generating operational dashboards and financial reports for executive stakeholders Optimized PostgreSQL and SQL Server query performance, improving billing report generation speed for enterprise clients Enhanced internal pricing and billing dashboards using Angular, TypeScript, and JavaScript, improving usability for operations and sales teams
Developed backend services using Java, Spring Boot, and REST APIs for order processing and inventory management modules handling high-volume marketplace transactions Improved application performance by 20% by optimizing memory management and multithreading using the C++ Standard Library on high-traffic marketplace components Built event-processing pipelines using Python and Apache Kafka, enabling reliable handling of product catalog updates and order events across distributed systems Developed seller dashboard frontend components using ReactJS, JavaScript, and Redux, improving merchant experience for inventory and order fulfillment management Integrated external payment gateway and logistics APIs, automating end-to-end order lifecycle from checkout through shipment tracking Optimized MySQL and MongoDB query performance for large-scale product catalog and order management datasets Built internal analytics scripts using Python and SQL, generating seller performance and product demand insights for marketplace business decisions