AI-Powered Cargo Tracking Tool
Santa Monica, CA, USA
LogisticsTypeScriptNode.jsLangChainPostgreSQLDockerKubernetesGCP
Built an AI-powered tool for Microsoft Teams and Outlook that enables users to query cargo tracking information through a conversational interface. The system uses LangChain and LangSmith to process queries and provide real-time responses from a PostgreSQL database populated via an ETL pipeline.
Highlights
- 01.Integrated LLM capabilities using LangChain for natural language cargo queries
- 02.Maintained ETL pipeline to sync client data with internal PostgreSQL database
- 03.Deployed on Kubernetes with GCP for scalable, real-time processing
- 04.Implemented Dapr for microservices communication and state management