Madhumathi Rajesh

Strategic Leadership in Data Science Projects

1. Clinical QA Bot Development

• Strategic Vision: Designed and implemented a robust Clinical QA Bot leveraging cutting-edge Large Language Models (LLMs) to address complex queries from diverse sources such as payer policy documents, CCDs, and lab reports.
• Innovative Methodology: Integrated Retrieval-Augmented Generation (RAG) to enhance accuracy and deployed the solution on Vertex AI, ensuring scalability and alignment with enterprise AI strategies.

2. Whisper Project Transition

• Cost Optimization and Strategic Migration: Directed the transition from Google ASR to Whisper AI, employing a systematic evaluation of performance metrics and cost efficiencies.
• Outcome-Oriented Execution: Achieved a 78.33% reduction in daily audio processing costs while maintaining service quality, aligning with broader organizational cost-reduction goals.

3. Claims Optimization

• Strategic Impact on Revenue Cycle Management: Spearheaded DS initiatives including prior authorization, denial prediction and prevention, and identifying the optimal touchpoints for claim processing.
• Efficiency Gains: Delivered measurable improvements in operational efficiency, contributing to streamlined workflows and enhanced revenue outcomes.

4. Development of Genie – A Comprehensive Gen AI Solution

• Holistic AI Strategy: Directed the creation of Genie, an advanced, agentic platform encompassing 10 AI-driven use cases. These included pre-visit summaries, chart note generation, entity extraction from medical images, document classification, and a chatbot powered by the multimodal Gemini model.
• Transformative Outcomes: Strategically aligned the solution with business goals to drive innovation across healthcare workflows, setting a foundation for long-term digital transformation.

1. Development of a Comprehensive Responsible AI Framework

• Strategic Collaboration: Partnered with scholars from Stanford University to design a Responsible AI framework that integrated robust governance standards, compliance with EU AI regulations, and adherence to GDPR requirements.
• Proactive Governance: Ensured the framework aligned with emerging regulatory landscapes, mitigating risks, and establishing a foundation for ethical AI practices.

2. Productization and Market Impact

• Transforming Strategy into Results: Successfully turned the Responsible AI framework into a market-ready product, driving a 5% increase in adoption rates among clients.
• Business Growth: Leveraged the product’s success to secure new client engagements, expanding the organization’s portfolio by 7% and reinforcing its position as a leader in Responsible AI solutions.

• Led the Cheque Clearing project by implementing advanced algorithms, including VGG16 for data annotation, Faster R-CNN for object detection, and Tesseract for OCR, significantly reducing manual intervention and saving the equivalent of 3 FTEs per country.
• Pioneered anomaly detection algorithms as part of the Advanced Risk Analytics (ARA) initiative, achieving a 2-3% reduction in fraud-related incidents and generating substantial financial savings.

• Developed a table detection algorithm (TableNet) and an entity extraction model that saved 6 FTES through process automation.
• Built a loan queue allocation system for the Paycheck Protection Program (CARES Act), utilizing XGBoost and Random Forest models to classify loan applications, improving processing speed by 3x.

• Mastering text handling techniques to construct solutions for various natural language applications.
• Been part of 2 funded projects.
• Collaborated with colleagues on curriculum revision, evaluation of course syllabi, and lesson plans for AI curriculum.
• Applied innovative teaching methods to encourage student learning objectives. Established research agenda in the AIML field to publish in peer-reviewed journals.
• Facilitated academic and community collaborations to increase the number of community-engaged research proposal submissions to extramural funders.
• Revised course objectives, course materials, instructional, and assessment strategies for elective courses.
  Performed research to serve as a basis for academic writing for publication.

• Developed and implemented innovative teaching methods that enhanced student engagement and learning outcomes.
• Conducted research projects, wrote manuscripts, and presented findings at professional conferences.