Rahul Kusuma
@rahulkusuma
AI/ML Engineer at Vidal Health
Bengaluru, India
Rahul Kusuma is an AI/ML Engineer at Vidal Health with a strong background in Artificial Intelligence and Computer Engineering. He has experience developing scalable AWS environments and deploying AI solutions for health insurance claims auditing. Rahul is passionate about machine learning, deep learning, and contributing to growth-oriented organizations.
Experience
AI/ML Engineer
Vidal Health
Designed and deployed AI/ML solutions for health insurance claims auditing, with 3x increase in the number of anomalies being detected. Implemented an anomaly detection system utilizing isolation forest to enhance the accuracy of auditing processes and detecting irregularities. Minimized payback losses for Vidal resulting from flawed auditing procedures. Build end to end product for concurrent audit automation including model building, UI , Database and Deployment. Implemented logging and tracking of ML models using MLflow. Implemented auto-adjucation of international claims with the help of OpenAI API, with 95% of claims being correctly processed.
R&D Intern
Philips Healthcare
Developed a scalable and reproducible AWS environment for data scientists and machine learning engineers using AWS CloudFormation, YAML, and AWS SageMaker. Automated AWS infrastructure for tasks such as project creation, data processing, training, and deployment tasks using AWS Boto3 SDK. Integration of R Studio with Philips AWS environment, significantly improving data analysis and machine learning capabilities. Enhanced AWS operations by writing and implementing comprehensive test cases for reliable automation.
Education
National Institute of Technology (NIT), Silchar
MTech
Artificial Intelligence
Relevant Coursework: Machine Learning , Image processing , Deep Learning , Neural Networks.
Pune University
BE
Computer Engineering
Relevant Coursework: Data Structures , Algorithms , Database Management , Software Engineering