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Ponaganti Sanjana
Mid-level AI/ML Engineer specializing in NLP, MLOps, and FinTech
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About
ML/AI engineer with production experience at S&P Global and Accenture, focused on regulated, enterprise-grade systems. Built end-to-end financial risk and credit default models with >90% precision and 12% fewer false positives, and is currently developing secure RAG pipelines on AWS SageMaker for enterprise insight extraction.
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Key Strengths
- owned end-to-end ML system delivery from ETL to deployment and monitoring
- production ML in financial risk and credit default forecasting
- combined structured financial data with unstructured ESG data
- strong model interpretability for regulated environments using SHAP and LIME
- deployed scalable ML APIs on Azure ML and Kubernetes
- built drift monitoring and automated retraining workflows
- achieved over 90% precision in pilot risk forecasting
- reduced false positives by 12% in production
- building enterprise RAG pipelines on AWS SageMaker
- implemented security controls including RBAC and encryption
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