Machine Learning Engineer
CurrentArchitected and built an LLM/RAG Chat Engine for the Sports industry in AWS that gives officials the ability to use a Chatbot for their relevant rule books and exam creation. Primarily working as a backend ML Engineer this solution utilized the AWS CDK to deploy REST APIs that interact with Python Lambdas that invoke Bedrock Knowledge Bases containing OpenSearch Vector Stores with customized prompts. DynamoDB was the data store of choice for tracking chat, users, prompts, and examination data. Using openly available data and user inputs, the underlying foundational models were fine-tuned and pre-trained to provide customized responses from Bedrock.