Prasanna Bagal

At Deutsche Bank, I lead a team of six engineers and data scientists building an LLM-powered AI compliance engine for CRR3, CoRep, Fin Rep, and Pillar3 mapping. I implemented RAG workflows that reduced compliance processing time by 40% within six months and enforced Kubernetes and MLflow CI/CD pipelines that cut deployment time by 50%.

Previously at TTEC Digital, I led sentiment-model development with PyTorch transformers and RoBERTa, improving accuracy by 15% and reducing false positives by 20% through ROC-AUC validation. I also automated the migration of seven models to PySpark and helped reduce annual compliance operating costs by $200k.

At Comscore, I worked on MMX, VMX, and VMXMP products across desktop, mobile, and OTT, optimizing PySpark pipelines on GCP to reduce processing time by 35%. My earlier work for American Express, Barclays, Kroger, McDonalds, and Citi covered retention engines, credit-risk validation, ETL, forecasting, and statistical analysis.

I'm seeking a Senior AI Engineer role where I can apply AI development and workflow optimization to drive innovation and support a sustainable economy that empowers people globally.