SDE Intern - AI-powered chat and voice agents (agentic automation)
Built and deployed AI-powered chat and voice agent workflows using large language models to handle real-time tasks. Implemented LLM-driven agentic automation and orchestration patterns for downstream execution in production systems. Focused on operational readiness including reliability, logging, monitoring, and fallback behaviors to ensure consistent agent responses. • Developed agent automation pipelines integrating Rasa with Twilio and LLM-based systems • Deployed OpenAI, Gemini, and LLaMA-based chat/voice agents for real-time workflows • Enhanced system reliability with logging, monitoring, and fallback handling in scalable full-stack applications • Worked on end-to-end agent workflow improvements based on runtime behavior