Nithya Shree

AI Engineer with 2+ years shipping production RAG and multi-agent GenAI systems on Azure OpenAI, LangChain, and Salesforce Agentforce for enterprise clients. Delivered an 85%-accuracy RAG platform that cut a team's manual workload by 60%, and took autonomous CRM agents from PoC to production. 4x company award winner for consistently turning ambiguous business requirements into measurable AI outcomes.

AI Engineer at Hibiz Solutions (2024-06 – Present)

• Engineered and shipped a production full stack platform (Python, FastAPI, Azure OpenAI, Azure AI Search, MongoDB) achieving 85% retrieval accuracy, adopted by a 30+ person support team.
• Cut manual support workload by 60% (10-20 hrs/week saved) by designing and deploying automated case summarization, knowledge search, and bulk-processing workflows.
• Owned the data and retrieval architecture — ERD design, ingestion pipelines, embedding generation, and retrieval-quality tuning — for structured and unstructured enterprise data
• Deployed and monitored production services through Azure DevOps CI/CD pipelines (Git → Azure App Service), tracking latency, performance, and system logs for reliability.
• Built and deployed autonomous CRM agents on Salesforce Agentforce — designed agent reasoning, tool orchestration, and knowledge-retrieval logic — from PoC to customer pilots and production.
• Delivered a Salesforce-based project management web platform (LWC, Apex, DHTMLX Gantt) adopted by 20+ departments to plan and track 100+ active projects, reducing manual scheduling effort
• Architected real-time MuleSoft integration pipelines (Anypoint, CloudHub) syncing Salesforce with 2+ third-party systems, cutting failed-sync incidents by 60% via retry and dead-letter handling.
• Recognized 4x with the Hibiz Honors Award (Nov 2024, Apr 2025, Jul 2025, Apr 2026) for sustained top-tier delivery and product impact.

B.E. in Electronics and Communication Engineering – Government College of Technology, Coimbatore (2020-11 – 2024-03)