Working with the cloud AI team to build a generative AI security assistant using AWS Bedrock (Claude), LangChain, and ChromaDB, implementing a RAG pipeline for enterprise security knowledge retrieval. Implementing semantic retrieval and prompt orchestration with vector search and real-time streaming to support scalable LLM inference and grounded responses.

Developing a cloud-based Customer Health analytics platform integrating Salesforce, Zendesk, Rocketlane, and Slack, analyzing customer and sales data to generate health scores and opportunity reports that improve sales funnel visibility and increase customer retention by 30%.

Designed and engineered an AI-powered voice assistant as a full-stack developer, integrating Twilio Voice API, OpenAI GPT‑4, Claude, Gemini, and CRM workflows to automate 2,000+ weekly calls with a 98% follow-up success rate. Developed end-to-end conversational workflows with ReactJS, PostgreSQL, MongoDB, and Redis, leveraging in-memory caching to reduce database load and deliver sub-500ms latency while processing 1,500+ leads daily.

Implemented context tracking, model switching, response normalization, and analytics pipelines, enabling faster, accurate, and natural AI interactions. Built React/TypeScript dashboards to monitor AI performance, providing actionable insights, improving customer experience, and ensuring scalable, reliable, and efficient operations.

Supported cloud-based SaaS platforms by managing and closing 100+ Jira tickets weekly, helping maintain system uptime and operational reliability. Designed and optimized backend workflows using Graph Talk, integrating AWS services with Grafana monitoring to improve performance and reduce manual intervention by 40%.

Maintained structured documentation and daily process tracking, enabling smoother knowledge transfer, faster onboarding (30% reduction in ramp-up time), and strong operational continuity.