Enterprise AI Assistant Platform
Developed and deployed production-grade generative AI solutions leveraging Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and real-time orchestration to deliver intelligent customer-facing experiences.
Implementation
- Built and deployed LLM-powered features in production customer-facing applications.
- Designed Retrieval-Augmented Generation (RAG) systems using enterprise knowledge bases for accurate real-time responses.
- Developed React and Next.js interfaces enabling real-time AI conversations and workflow automation.
- Architected backend orchestration services for prompt management, retrieval, inference, and response generation.
- Implemented AI observability and monitoring solutions to track model quality, latency, costs, and reliability.
- Improved CI/CD pipelines and containerized deployments, enabling zero-downtime releases of AI services.