Kumar Ashutosh

Tech: NestJS, PostgreSQL, AWS SQS, SES, S3, Textract, GraphQL, WebSockets

• Architected a modular NestJS backend for a distributed document-processing system, enabling scalable service isolation and maintainability.
• Designed an asynchronous processing pipeline using AWS SQS and background workers for document extraction and email notifications with retry strategies and failure handling mechanisms.
• Integrated AWS Textract for automated OCR of multi-page documents, implementing fault-tolerant, event-driven workflows.
• Built a background export engine for long-running download jobs with real-time progress updates via WebSockets.
• Improved API response time by ~30% by introducing indexing strategies, optimizing join queries, and denormalizing high-read tables in PostgreSQL.

Tech: NestJS, MongoDB, Kafka, Kubernetes

• Contributed to backend development of a payroll processing system handling salary computation, compliance checks, and loan management.
• Implemented bulk payroll ingestion workflows and optimized backend services for improved scalability.
• Worked in a containerized, event-driven environment leveraging Kafka and Kubernetes.

Tech: Node.js, NestJS, MongoDB, RabbitMQ, Redis, AWS Lambda, SQS

• Designed and maintained integrations with multiple loan servicers, enabling automated loan retrieval, payment processing, and account synchronization.
• Architected a webhook microservice using NestJS and RabbitMQ to deliver reliable real-time partner notifications.
• Implemented an asynchronous loan data refresh pipeline using AWS Lambda and SQS, introducing controlled concurrency and improving scalability under daily refresh workloads.
• Built proactive monitoring workflows using Datadog to detect third-party integration failures and reduce downtime. Reduced mean time to detect (MTTD) integration failures from hours to minutes and improved resolution turnaround, resulting in ~50% reduction in servicer-related downtime.

• Contributed to development of an enterprise stock management system using SAP HANA and SAP ECC.