Aiden Bingham

I’m a junior AI/ML developer who builds production-ready systems that turn messy inputs into reliable outcomes. I’m especially motivated by AI-native products where safety, routing, and validation matter as much as model performance.

At Amazon Web Services and Compass UOL, I implemented Amazon Lex bot configuration and production Lambdas for a B2B outbound voice agent. I’ve also contributed to an AI-native e-commerce enrichment system on SQS, Lambda, Step Functions, Bedrock, and DocumentDB—working on result generation, guardrails, and model routing.

I’ve focused heavily on data reliability and compliance, building ingestion pipelines, PII redaction, Step Functions orchestration, and structured validation layers for a Bedrock and Neo4j legal conversational platform. Previously as an Auxiliary Services Data Analyst, I developed data warehousing solutions and built Power BI dashboards that improved housing operations.

I lead projects that blend engineering depth with real-world impact, from an immune monitoring platform with a React Native mobile app and AWS HIPAA-compliant processing, to a legal RAG chatbot using LangChain, Chroma, and Amazon Bedrock. I bring a strong applied-data-science foundation (including Dean’s List recognition and relevant competitions) and a clear drive to ship scalable, trustworthy data and AI systems.