Sun Life

A leading financial services company focused on insurance, wealth, and health solutions.

• Served as the primary developer of a Retrieval Augmented Generation (RAG) system powering an internal AI chatbot for financial advisorsPython · React · LangChain · TypeScript · Git
• Developed, tested, and implemented the complete event-driven backend pipeline for document ingestion, chat processing, and conversational memoryAWS Lambda · PostgreSQL · pgvector · DynamoDB · Terraform
• Developed proof-of-concepts (PoCs) for AI-powered call evaluation, AI call simulation, and multi-agent AI orchestration systemsAWS Bedrock · AWS Transcribe · AWS Polly · DynamoDB
• Built a dashboard to track AI tool adoption across multiple regional teams, providing insights on training completion, access distribution, and usageGitHub Copilot
• Maintained and enhanced legacy intent-based chatbots to improve user experience and conversational accuracyGoogle Dialogflow