Software Engineer at Police Federal Credit Union

Led backend performance and financial reconciliation optimization during a core banking system migration, improving processing throughput by 30% across regulated financial APIs. Designed and maintained core backend services using Python (Django, DRF) and Node.js to process financial records, interest calculations, amortization schedules, and secure member data. Built RESTful APIs and GraphQL endpoints to support financial reporting, reconciliation, and internal dashboards. Implemented reusable React component architecture with RBAC-based UI to support secure access for operations, audit and compliance. Developed Flask-based internal tools for audit preparation and health monitoring. Integrated Kafka pipelines for asynchronous processing of high-volume financial transactions. Deployed patterns on AWS (EC2, RDS, S3) with IAM, encryption, and CloudWatch. Optimized PostgreSQL and MongoDB schemas for auditability. Containerized with Docker and orchestrated with Kubernetes. Implemented CI/CD

Software Engineer at Tata Consultancy Services – Citi Bank

Contributed to enterprise banking platforms supporting large-scale payment and transaction processing, reducing production incidents by 25% via improved validation and observability. Designed and implemented RESTful APIs using Python (Django, DRF) and Node.js; built GraphQL services to optimize data retrieval for internal banking applications and reporting tools. Implemented RBAC and used Django ORM to manage transactional data models, audit trails, and reporting datasets. Dockerized banking microservices for consistent environments across development, QA, and production, enabling safer releases for payment and reconciliation workflows. Supported AWS-based deployments (EC2, S3, CloudWatch) and integrated Kafka for asynchronous event processing. Developed React-based internal tools to visualize transaction status and reconciliation metrics. Deployed containers with Kubernetes and implemented CI/CD workflows.