United States
Software Engineer with 5+ years of experience designing and building scalable backend systems, cloud-native applications, and AI-powered solutions across fintech and e-commerce domains. Currently at Intuit, I develop distributed financial platforms and intelligent services using Java, Spring Boot, AWS, Kafka, and Generative AI technologies including LLMs, Retrieval-Augmented Generation (RAG), AWS Bedrock, and OpenAI APIs. Previously, I worked at Flipkart and Accenture, building high-scale microservices, event-driven architectures, payment systems, and enterprise integrations. Core expertise includes: • Java & Spring Boot • AWS Cloud & Serverless Architecture • Distributed Systems & Microservices • Apache Kafka & Event-Driven Design • PostgreSQL, MongoDB, DynamoDB & Redis • Generative AI, LLM Applications & RAG • Docker, Kubernetes & CI/CD I enjoy solving complex engineering challenges involving scalability, reliability, cloud architecture, and AI-driven product innovation. Open to connecting with engineers, architects, and technology leaders working on backend systems, cloud infrastructure, and AI applications.
• Architected financial account lifecycle management services using Java, Spring Boot, and AWS serverless architecture, to automate customer onboarding, account maintenance, payment processing, and financial workflow orchestration, enabling scalable operations across QuickBooks, TurboTax, and ProConnect platforms supporting millions of customers. • Led development of an event-driven financial reconciliation platform using AWS Lambda, S3, DynamoDB, and AWS Glue, to process 10K+ financial transactions daily, automating invoice, payment, and tax reconciliation while reducing cloud infrastructure costs by 90% for finance and accounting operations. • Engineered fault-tolerant microservices using Java, Node.js, TypeScript, and Apache Kafka, implementing retry mechanisms and circuit breaker patterns to ensure reliable asynchronous processing of high-volume financial events and payment workflows under peak traffic. • Designed and integrated LLM-powered financial assistant services using Python, AWS Bedrock/OpenAI APIs, and Retrieval-Augmented Generation (RAG), enabling intelligent financial insights, automated accounting support, and contextual assistance for tax and bookkeeping workflows, reducing manual intervention for customer support teams. • Built Backend-for-Frontend (BFF) APIs using Node.js, GraphQL, and TypeScript, simplifying integrations for React applications while supporting feature flags, conditional rendering, and IRS and financial regulatory compliance requirements across multiple product offerings. • Developed distributed caching and optimized data access layers using Redis and DynamoDB, improving customer account retrieval, financial entitlement validation, and transaction lookups while reducing API latency by 40% across customer-facing services. • Partnered with Product, Finance, Accounting, Compliance, and third-party financial partners, translating business
• Developed enterprise applications integrating SAP SD and billing systems with Java Spring Boot services, to automate pricing and orderto-cash workflows, improving operational efficiency for enterprise retail and manufacturing clients. • Built RESTful APIs and middleware services using Java, Spring, and Node.js, connecting SAP backend systems with modern web applications and partner platforms, enabling scalable integration for business operations teams. • Designed data pipelines and reporting services using SQL, Python, and ETL frameworks, generating operational dashboards and financial reports supporting business intelligence teams and executive stakeholders. • Implemented microservice components and asynchronous job processing using Apache Kafka and Redis queues, streamlining batch billing processes and reducing transaction processing delays by 30%. • Enhanced frontend applications using Angular, JavaScript, and TypeScript, building internal dashboards for pricing and billing workflows that improved usability for operations and sales teams. • Automated CI/CD workflows using Jenkins, GitLab CI/CD, and Docker, standardizing deployments across environments and reducing release cycle time by 25%. • Optimized PostgreSQL and SQL Server database performance through query tuning, improving billing report generation and accelerating enterprise data retrieval.
• Assisted in developing backend services using Java, Spring, and REST APIs, contributing to order processing and inventory management modules supporting high-volume marketplace transactions across Flipkart's e-commerce platform. • Contributed to implementation of microservice components and event-processing pipelines using Python and Apache Kafka, enabling reliable handling of product catalog updates and order events across distributed systems. • Optimized memory management and multithreading using the C++ Standard Library, improving application performance by 20%. • Developed frontend components using ReactJS, JavaScript, and Redux, improving seller dashboard usability and enabling merchants to efficiently manage inventory and order fulfillment. • Supported database design and query optimization using MySQL and MongoDB, improving retrieval performance for large-scale product catalog and order management datasets. • Integrated external payment gateway and logistics APIs, automating end-to-end order lifecycle workflows from checkout through shipment tracking for fulfillment operations. • Built internal reporting and analytics scripts using Python and SQL, generating seller performance and product demand insights to support marketplace business decisions. • Collaborated with product managers and senior engineers to translate business requirements into scalable application features, contributing to seller onboarding and catalog management improvements.