AI/ML Engineer at Capital One (USA)

Architected, designed, and delivered enterprise-scale AI/ML and GenAI platforms on AWS and Azure, enabling real-time decision intelligence and scalable data processing for financial systems. Led end-to-end ML lifecycle—from problem framing and data ingestion to feature engineering, model development, deployment, monitoring, and continuous improvement. Built MLOps pipelines using MLflow, Azure DevOps, GitHub Actions, Docker, and Kubernetes; established CI/CD for automated training, testing, deployment, rollback, and governance. Designed RAG architectures with LangChain, LangGraph, vector stores (ChromaDB), embeddings, and OpenAI/Azure OpenAI APIs for improved knowledge retrieval and explainability. Created multi-agent AI ecosystems using AWS Bedrock Agents to support autonomous task execution. Engineered high-throughput data pipelines with PySpark, Spark SQL, Databricks, and Snowflake; implemented feature stores and data versioning; led Databricks optimization and cost governance; int