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Shanmathy User

@shanmathyuser

Message

I build AI, machine learning, and RAG solutions for financial decision-making.

United States

Message

I'm building AI risk-analytics capabilities at USAA, processing 400+ GB of financial data weekly across more than 2 million member records.

I develop credit risk, fraud detection, behavioral analysis, customer segmentation, and real-time risk-scoring models handling 80,000+ events per hour on AWS SageMaker.

I've designed NLP document-classification and RAG retrieval pipelines over 3 million records, and fine-tuned LLM solutions for query resolution, report summarization, and personalized recommendations.

Previously at HCL Tech, I turned customer analytics, personalization, and forecasting needs into Python, SQL, Apache Spark, and Azure-based data science projects, including churn, demand forecasting, engagement, and risk models.

Experience

Work history, roles, and key accomplishments

Current

AI Engineer

Current

USAA

Jan 2025 - Present (1 year 8 months)

Engineered ETL pipelines processing 400+ GB of financial data weekly and implemented ML models for credit risk, fraud detection, and customer segmentation. Fine-tuned LLM-based solutions and architected real-time risk-scoring pipelines on AWS SageMaker.

Python SQL ETL Machine Learning NLP RAG LLM AWS Sagemaker MLFlow Cloudwatch Feature Engineering Hyperparameter Tuning

Data Scientist

HCL Tech

May 2021 - Dec 2023 (2 years 7 months)

Collaborated with product and business teams to convert analytics and forecasting requests into data science projects. Developed customer segmentation, churn, and risk detection models, and built MLflow pipelines with experiment tracking and Tableau dashboards.