RUPANJALI CHAUDHURI
Bangalore,KA
Summary
Technology leader with over 17 years of experience in data science and research, developing, and deploying AI agents and machine learning solutions. Proven ability to drive product launches in new markets and enhance user experience through innovative features. Expertise in leading cross-functional teams to create scalable solutions in search, propensity modeling, recommendations, and automated documentation. Accomplished in delivering AI agents at scale, with multiple patents and publications in healthcare AI, while fostering collaboration and mentorship within teams.
Overview
13
13
years of professional experience
1
1
Certification
Work History
Senior Manager, Applied Sciences
Oracle Health
Bangalore
01.2025 - Current
- The clinical AI agent for creating quality documentation from doctor-patient conversations comprises speech-to-text (transcription) using automated speech recognition, diarization, role labeling, and SOAP note generation using LLM. Led the product expansion to the international market with new features.
- AI agent for order recommendation from patient-doctor conversations using extractor and ranker LLM.
- Advisor agent to create classification reports for physicians, analyzing actual vs. proposed orders and providing recommendations to improve order recall and verbalization practices.
- Voice Assisted Automated Infection Control Form Filling AI Agent for Hospitals
- Managing team of 14 data scientists and ML Engineers.
Senior Manager, Center of Excellence
Oracle Cerner
Bangalore
05.2019 - 01.2025
- Deduplication and driving interoperability of clinical resources using medical entity linking to HL7 FHIR standards and knowledge graph of medical ontologies like UMLS, RxNorm, SNOMED-CT using SFT-BERT transformer model and semantic search with vector embeddings.
- Oversaw deployment of models on OCI using Oracle Cloud services, CI/CD delivery, Containerization and deployment on OCI Kubernetes engine.
- Stakeholder management with U.S. and India counterparts, aligning team efforts with strategic goals and ensuring seamless communication.
- Built financial models on hospital revenue cycle management, including Claims Denial Prediction, Work Queue Prioritization and Expected Reimbursement Prediction. Techniques: Xgboost, Survival Analysis, forecasting using ensemble techniques.
- Developed 30-Day Acute Myocardial Infarction Readmission Prediction Model to help hospitals avoid penalty from CMS, leveraging XGBoost and logistic regression models.
Senior Data Scientist, Center of Excellence
Ge Healthcare
Bangalore
02.2017 - 04.2019
- Tuberculosis image classification and localization using X-Ray images.
- Techniques: Deep Learning (DL), SVM, image segmentation. Features: DL features, Local Binary Pattern, Haralick.
- Multiparametric Respiratory Distress prediction using pattern matching and severity score indexing. Techniques: logistic regression, 1D CNN, dynamic time wrapping (DTW).
- End of Case prediction using Anesthesia Ventilator data to increase OR utilization efficiency. Technique: Multivariate ventilator parameter analysis for providing a probability score.
Data Scientist
IBM Cognitive Unit
Bangalore
01.2016 - 01.2017
- Pharma Chatbot use case.
- Worked on Big Data; Spark and Hadoop.
Data Scientist
Harman
Bangalore
02.2015 - 01.2016
- Worked on Automotive sector use cases.
- Find best route using frequency recency approach.
Post Doctorate in Bioinformatics
Indian Institute of Science
01.2013 - 01.2015
Education
Post Doctorate - Bioinformatics
Indian Institute of Science
Bangalore01-2015
PhD - Bioinformatics
University of Pune
IGIB, New Delhi01.2013
MSc - Bioinformatics, Computational Biology, Statistics
Banaras Hindu University
Banaras01.2007
Skills
- Leadership
- Analytics
- AI & ML Expertise
- Problem Solving
- Communication
- Collaboration
- Innovation
- Machine learning
- Strategic planning
- HL7 FHIR standards
- Stakeholder engagement
- Project management
Certification
- DevOps Professional with Containers and Kubernetes, 2024
- Generative AI and Prompt Engineering Custom, 2024
- Oracle Cloud Infrastructure Generative AI Professional, 2024
- Oracle Cloud Infrastructure Certified Foundations Associate, 2023
- Neural Networks and Deep Learning - Coursera, 2018
- Agile Scrum Master Certification, 2022
Accomplishments
- Speaker at IEEE and Springer conferences, sharing insights on healthcare AI/ML innovations (2022).
- Best Paper Award at IEEE Healthcare Informatics Conference (2020).
- Eureka! Challenge Winner (Team: SmartEye) - GE Healthcare (2017).
- IBM Manager's Choice Award (2016).
- Filed multiple patents related to healthcare data interoperability and AI-driven solutions.
Publications
- Recommendation System for Clinical Concept Mapping, IEEE, 03/07/2024
- WE-Net: An Ensemble Deep Learning model for Covid-19 Detection in Chest X-ray Images, Springer Nature, 07/28/2022
- Driving Impact In Claims Denial Management Using Artificial Intelligence, Springer Nature, 07/28/2022
- Time to Response Prediction for following up on Account Receivables in Healthcare Revenue Cycle Management, Springer Nature, 07/28/2022
- Acute Myocardial Infarction Readmission Risk Prediction Model in Admit and Discharge patients, 2021 IEEE 9th International Conference on Healthcare Informatics (ICHI), 214-218
- Machine Learning and Deep Learning Approaches to Quantify Respiratory Distress Severity and Predict Critical Alarms, 2020 IEEE International Conference on Healthcare Informatics (ICHI), 1-11
- Quantitative Assessment of Respiratory Distress using Convolutional Neural Network for Multivariate Time Series Segmentation, 2020 Computing in Cardiology, 1-4
- Tuberculosis Detection Workflow From X- Ray Images, 2018
- Immunoinformatics as a tool for new antifungal vaccines, Vaccines for Invasive Fungal Infections, 2014
- Prediction of virulence factors using bioinformatics approaches, Immunoinformatics, 2014, 389-400
- FungalRV: adhesin prediction and immunoinformatics portal for human fungal pathogens, BMC Genomics, 2011, 12, 192
- Biological Data Modelling and Scripting in R, 2011, Bioinformatics - Computational Biology and Modeling
- MalVac: database of malarial vaccine candidates, Malaria Journal, 2008, 7, 1, 1-7
- Mycobacterium tuberculosis systems biology data in R, Biobytes, 2008, 5, 0971 3271, 2009
Patents
- Concept Mapping Using Finetuned Large Language Models
- Standardization Of Reference Data For Electronic Health Records
- Deduplicating And Grouping Medication Events Using Concept Mapping Of Free Text With Large Language Models
- Deduplicating And Grouping Allergy Events Using Concept Mapping Of Free Text With Large Language Models
- Patient Monitoring System and Method Having Severity Prediction and Visualization for a Medical Condition
- Decision Support Tools For Reducing Readmissions Of Individuals With Acute Myocardial Infarction
- Claims Denial Prediction
- Predicting Reimbursement For Healthcare Services
- Concept Mapping For Integrated Charting
- Concept Mapping of Clinical Events to LOINC Codes
Timeline
Senior Manager, Applied Sciences
Oracle Health
01.2025 - Current
Senior Manager, Center of Excellence
Oracle Cerner
05.2019 - 01.2025
Senior Data Scientist, Center of Excellence
Ge Healthcare
02.2017 - 04.2019
Data Scientist
IBM Cognitive Unit
01.2016 - 01.2017
Data Scientist
Harman
02.2015 - 01.2016
Post Doctorate in Bioinformatics
Indian Institute of Science
01.2013 - 01.2015
Post Doctorate - Bioinformatics
Indian Institute of Science
PhD - Bioinformatics
University of Pune
MSc - Bioinformatics, Computational Biology, Statistics
Banaras Hindu University