Abhishek Mudurakola

• Defined business requirements and logic for AI-powered life care plan automation using historical patient data and integrations with Amazon Bedrock, OpenAI APIs, and IronPDF.
• Facilitated requirements workshops with clinical stakeholders to capture use cases and validate AI-generated outputs for accuracy and compliance.
• Authored user stories and acceptance criteria for intelligent document generation workflows, enabling seamless handoff to engineering teams.
• Reduced care plan preparation time from hours to minutes through AI-driven automation, improving operational efficiency.
• Enhanced accuracy, personalization, and scalability of life care documents while strengthening collaboration across clinical, data science, and engineering teams.

• Elicited and documented requirements from field intelligence, SOPs, and stakeholder interviews, maintaining an RTM to ensure accuracy and traceability in a non-Agile environment.
• Collaborated with Political Intelligence and Data Analytics teams to define actionable KPIs including voter engagement, turnout metrics, and historical scenario analysis.
• Developed As-Is and To-Be business process models (BPM) to support voter segmentation, reporting workflows, and data-driven campaign strategies.
• Optimized reporting processes, managed escalations, and ensured on-time delivery of constituency-level analytical reports under tight deadlines.

• Updated and maintained inventory data across multiple markets (six countries), ensuring accuracy and compliance with operational standards.

Conducted periodic data analysis and created Power BI/Excel dashboards to track performance trends, identify issues, and optimize processes.

• Supported end-users by troubleshooting system issues and ensuring smooth platform operations.

• Coordinated data sharing between internal teams and vendors, ensuring timely and accurate communication to prevent operational disruptions.

• Led requirements engineering for Tracfone’s microservices migration, documenting complex business needs through interviews and workshops.
• Streamlined stakeholder collaboration by establishing a RACI Matrix and maintaining a Requirements Traceability Matrix.
• Facilitated transition from Waterfall to Agile by collaborating with Product Owner on user story creation and prioritization.
• Documented and validated API requirements while testing microservices using Postman for quality assurance.