Christian Ray

An AI Compliance Auditor tool, designed to integrate with LPL's Cyan AI Agent tooling to provide second layer prompt FINRA & SEC compliance. Utilizes AWS Cloud services: Lambda, Bedrock, DynamoDB, IAM, SnapStart and SNS protocal.

Engineered a Retrieval Augmented Generation (RAG) pipeline to pair user queries with embedded Osteafibrosis Dysplasia research data for context specific LLM outputs. Utilizes Google Cloud Platform (GCP) VectorEmbedding, Langchain (InMemoryVectorStorage), FastAPI and Google Gemini API.

An application designed for retail home improvement stores to identify demand for essential inventory during weather-related disasters. Utilizes Python, Pandas, NumPy and Common ML Algorithms with NOAA Historical Weather data and Synthetic retail store inventory data to draw predictions based on weather conditions.