Adithya Pawwar
AI/ML Engineer (SME) with 5 years of experience | Generative AI, NLP, Deep Learning | AWS SageMaker, Bedrock, GCP, Azure | Fraud Detection, Churn Prediction, Risk Modeling | AWS Certified Solutions Architect & Developer
- Role
- Ai Ml Engineer (Sme) at MetLife
- Location
- Redmond, WA, US
- LinkedIn followers
- 500 followers
About Adithya Pawwar
AI/ML Engineer (SME) with around 5 years of experience in designing, developing, and…
Experience
Ai Ml Engineer (Sme)
May 2023 — Present · US
Managed AI/ML insurance projects leveraging Agile methodologies to ensure on-time delivery, improved claims automation, and enhanced policyholder satisfaction.• Developed and deployed AI/ML models in AWS SageMaker incorporating LangChain Chains & Agents, Generative AI, and prompt engineering to optimize insurance claims scheduling and customer service workflows based on FIFO principles, significantly improving operational efficiency.• Integrated open-source routing APIs with LangChain’s API interaction capabilities to classify and sort customer service feedback, policyholder queries, and closed claim tickets into different risk/customer buckets using frequency-based sorting algorithms, enabling faster resolution and customer segmentation.• Preprocessed and cleaned rows of insurance policyholder and claims data using SQL (data cleaning, null handling, standardization) to ensure accuracy and governance for downstream analytics and compliance reporting.• Led a predictive AI use case for fraud detection and claims risk modeling by building an ML pipeline in AWS SageMaker, Redshift, Python, and LangChain, forecasting the likelihood of fraudulent or high-risk claims. This initiative is planned for integration into MetLife’s enterprise risk management & compliance framework.• Built and deployed NLP-based machine learning modules for semantic similarity, clustering, and summarizing insurance documents (policies, claims narratives, and regulatory text) using PyTorch, AWS SageMaker, and GCP Kubernetes (Dockerized containers) to automate compliance reporting and claims review.• Mentored AI/ML and Data Science interns (including graduates from leading institutions), guiding them in AWS SageMaker, Redshift, SQL, Python, PyTorch, and cloud-native architectures while implementing CI/CD pipelines and automated testing in Linux/Unix environments to ensure robust model deployment and scalability.
Education
University of North Texas
Master of Science - MS
CVR College of Engineering, Hyderabad
Bachelor of Technology - BTech
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