Aravind K.

Data Scientist @CNA Insurance

Chicago, IL, US

CNA Insurance is a leading U.S. commercial property and casualty insurer focused on innovation, risk management, and digital transformation. As part of the AI & Analytics division, I lead the development of enterprise-grade Generative AI and Machine Learning solutions that enhance automation, customer self-service, and compliance analytics across large-scale platforms.Roles & Responsibilities:• Designed and deployed GenAI-powered automation systems, improving first-contact resolution by 30% and reducing support dependency.• Built and fine-tuned LLM pipelines using AWS Bedrock, SageMaker, OpenAI GPT, and Claude APIs to deliver accurate, compliant AI responses.• Implemented RAG pipelines with LangChain and Pinecone, reducing chatbot latency by 40% and improving response accuracy.• Developed NLP workflows for sentiment analysis, intent detection, and text classification using Hugging Face and AWS Comprehend.• Deployed Agentic AI systems using LangGraph, CrewAI, AutoGen, and GraphRAG with Neo4j for semantic search and intelligent automation.• Created secure APIs and containerized AI microservices with FastAPI, Docker, Kubernetes, and CI/CD pipelines using GitHub Actions.• Collaborated with DevOps and compliance teams on HIPAA, GDPR, and SOC2-compliant deployments, ensuring secure data flow.• Mentored junior engineers on LLM tuning, RAG optimization, and AI lifecycle management in Agile environments.Key Achievements: Improved customer satisfaction by 25% through multilingual, AI-driven personalization in 15+ languages. Reduced average handling time by 18% using embedding-based contextual chatbots. Delivered standardized documentation and playbooks, enabling faster GenAI rollout and onboarding. Strengthened governance with proactive monitoring, role-based access, and encrypted APIs. Presented AI insights to leadership, influencing automation strategy and CX innovation.