Swapna P

RPA & AI Automation Developer with 4+ years of experience designing and deploying intelligent automation solutions across banking, energy, and manufacturing domains. Expertise in UiPath, APIs, SQL, and Document Understanding, with hands-on experience integrating AI/ML concepts into RPA workflows for data extraction, validation, and decision-making. Proven track record of delivering 70% reduction in processing time and 99.5% accuracy in Citi Bank automations.

Skilled in building scalable, reusable automation frameworks, supporting CoE standards, and exploring AI-driven automation including OCR, NLP, and LLM-based use cases.

RPA Developer - Citi bank

(2024-10)

Design and develop end-to-end automation workflows in UiPath Studio using Git for version control, delivering reliable processes that meet business and technical specifications and reduce manual effort

• Participated in daily stand-ups, solution design discussions, and sprint planning to ensure smooth delivery.
• Led requirement gathering workshops with Business Analysts, Product Owners, and SMEs; documented business rules and translated them into automation-ready technical solutions.
• Deployed workflows to UiPath Orchestrator and configured queues, triggers, schedules, and production monitoring.
• Conducted debugging, root-cause analysis, and delivered timely fixes for production issues.
• Produced detailed PDDs, SDDs, and user guides while maintaining version-controlled artifacts.
• Identified process improvement opportunities and refined workflows to reduce manual touchpoints.
• Achieved 70% reduction in processing time and improved accuracy to 99.5%.
• Collaborated in identifying AI + RPA opportunities to move from rule-based automation to intelligent automation
• Supported evaluation of emerging AI tools and automation platforms for enterprise use
• Created OCR and Document Understanding workflows to extract transaction data from PDFs and scanned documents.
• Integrated internal APIs and SQL databases to validate dispute cases and auto-populate investigation summaries.
• Designed queue-based processing and exception-handling logic for high-volume workloads.
• Provisioned and managed attended and unattended robots, including machine templates and modern folder structures.
• Integrated AI-driven Document Understanding models to extract and classify data from loan and dispute documents, improving automation accuracy and reducing manual validation effort.
• Monitored and optimized automation performance using queue analytics, success/failure trends, and SLA metrics, improving overall efficiency
• Contributed to reusable automation components and standardization efforts, aligning with CoE best practices for scalable automation
• Designed intelligent automation workflows combining RPA with rule-based and AI-based validation logic, enabling better decision-making for loan processing and dispute resolution
• Built data processing pipelines involving data extraction (OCR), preprocessing, validation via APIs/SQL, and downstream system updates
• Partnered with Compliance and Audit teams to ensure automations adhered to banking regulations and data security policies.
• Led backlog refinement and requirement walkthroughs to align business needs with automation capabilities.
• Performed effort estimation and ROI analysis to prioritize automation candidates within sprint backlogs.
• Facilitated UAT sessions with stakeholders and captured feedback for continuous process improvement.
• Reduced manual effort by 60%, automating 600+ cases per month.
• Provided day-to-day production support for RPA processes, including incident monitoring, failure analysis, and timely resolution.
• Acted as a point of contact for stakeholders, ensuring clear communication on incidents, enhancements, and automation performance.
• Developed Python scripts for automation enhancements, debugging, and data processing tasks.
• Improved OCR accuracy by implementing confidence score thresholds, validation rules, and fallback mechanisms for low-confidence scenarios
• Explored LLM-based use cases for document summarization and data interpretation (POC level), identifying opportunities for future intelligent automation enhancements

RPA Developer (UiPath) - NRG Energy-USA

(2023-01 - 2024-08)

Designed, developed, and maintained UiPath Studio automations for utility billing validation, customer account updates, and usage reporting, using data tables and regex; the solutions accelerated processing and reduced manual errors

• Implemented Reframe work to build scalable and resilient bots with robust retry mechanisms, exception handling (business & system), and structured logging.
• Automated web and desktop applications to streamline back-office and customer service workflows, reducing manual intervention and errors.
• Integrated APIs and OCR to process utility invoices and structured/unstructured documents efficiently.
• Implemented role-based access control (RBAC) by managing users, roles, folders, and permissions to enforce least-privilege access
• Managed bot deployments using UiPath Orchestrator, including queues, assets, schedules, and credential management.
• Ensured compliance with SLA requirements and audit standards through validation checks and end-to-end monitoring.
• Collaborated with business stakeholders to gather requirements and prepare PDD and SDD documentation.
• Developed reusable automation components and contributed to coding standards and best practices.
• Provided production support, performed root-cause analysis, and implemented fixes to ensure high bot stability and availability.

RPA Developer (UiPath) - Caterpillar Inc. - Peoria, IL

(2021-09 - 2022-12)

Designed and developed UiPath automations for manufacturing and supply chain operations, including production reporting and inventory reconciliation, which reduced manual reporting effort and improved data accuracy

• Automated SAP, web, and desktop applications to support plant operations and engineering workflows.
• Implemented REFramework-based solutions with robust exception handling and logging for enterprise-scale processes.
• Worked with Excel, CSV, and databases to extract, validate, and reconcile operational data.
• Utilized Data Tables, dictionaries, and LINQ to process high-volume material and procurement data.
• Managed Orchestrator configurations including assets, queues, schedules, and robots.
• Collaborated with manufacturing SMEs and IT teams to gather requirements and document PDDs and SDDs.
• Monitored job execution, queues, logs, and performance metrics using Orchestrator dashboards.
• Provided production support, troubleshooting, and performance optimization for deployed automations.
• Improved operational efficiency by 80%, enabling near real-time manufacturing reporting.
• Applied UiPath patches and platform upgrades, validating bot compatibility post upgrade.

MBA - HRM - Dr. B.R. Ambedkar University (2007)

Com - Dr. B.R. Ambedkar University (2004)