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mohan k

@mohank2

Generative AI Engineer at Regions Bank building GenAI products and a RAG pipeline that cut compliance query resolution to 22 minutes.

India

Message

At Regions Bank, I architected a LangChain and Azure OpenAI platform powering three internal banking products, with a shared compliance layer for security and data governance. I also built a RAG pipeline with Pinecone that cut compliance query resolution from three days to 22 minutes.

I connected LLM summarisation agents to 14 internal data sources and scaled the fraud inference platform from 800 to 9,000 concurrent requests. I also replaced manual document review with a Google Document AI OCR pipeline, eliminating more than 900 analyst hours annually.

Across healthcare and insurance, I deployed clinical NLP and RAG systems at CVS Health and improved claims fraud detection at ACKO General Insurance. Earlier, at Bank of America, I rebuilt risk analytics pipelines and models; I hold a Master of Science in Computer Science from Governors State University and AWS Certified Machine Learning – Specialty certification.

Experience

Work history, roles, and key accomplishments

Current

Generative AI Engineer

Current

Regions Bank

Aug 2024 - Present (2 years 3 months)

Rebuilt CI/CD release process and architected a modular LangChain and Azure OpenAI GenAI platform powering internal banking products. Built RAG pipelines and delivered full GenAI infrastructure, reducing time-to-production for new AI features.

Jenkins GitHub Actions Git fastAPI Kubernetes AWS Sagemaker Lang Chain Azure OpenAI Pandas Pinecone Google Cloud Document AI CI CD RAG LLM Microservices

Machine Learning Engineer

CVS Health

Jan 2024 - Jul 2024 (6 months)

Built a reusable Docker and Kubernetes model serving framework and trained a BERT-based NLP model on GCP Vertex AI. Deployed RAG pipelines and optimized FastAPI microservices for real-time LLM inference.

Docker Kubernetes NumPy BERT GCP LlamaIndex Azure OpenAI MLFlow fastAPI NLP RAG LLM Model Deployment

Data Scientist

ACKO General Insurance

Jan 2021 - Jul 2022 (1 year 6 months)

Reengineered claims scoring model using XGBoost and redesigned PySpark and Airflow ETL pipelines. Rebuilt SQL stored procedures and standardized MLflow experiment tracking.

XGBoost scikit learn PySpark Airflow SQL Tableau MLFlow PostgreSQL ETL Feature Engineering EDA

Junior Data Scientist

Bank of America

Mar 2019 - Dec 2020 (1 year 9 months)

Redesigned distributed ETL pipelines using Apache Spark and automated weekly credit exposure reports. Rebuilt credit scoring and early warning delinquency models using Random Forest.