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saran palle
Mid-level Applied AI Engineer specializing in agentic LLM workflows
North CarolinaAI Engineer (Gen AI)4 years experienceMid-LevelArtificial IntelligenceHealthcareInsurance
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About
AI engineer with production experience building a LangGraph-based, stateful multi-agent system at MetLife to automate complex insurance claims adjudication, integrating document discovery, Azure Document Intelligence OCR/extraction, and health data analysis. Strong in agent orchestration and production deployment (Docker + FastAPI REST APIs), with a structured approach to reliability, evaluation, and stakeholder-driven requirements.
Experience
AI Engineer Intern (Applied LLM Systems)Acentrik Technology Solutions
Data Scientist (AI & Applied ML)Accenture
Machine Learning Intern (AI APIs & Model Integration)Smart Bridge
Education
University at Buffalo, The State University of New Yorkmaster, Data Science (2024)
Key Strengths
- Built and deployed a production multi-agent AI system automating insurance claims adjudication
- Designed stateful cyclical agent graph in LangGraph to handle non-linear, dynamic workflows
- Productionized AI solution via Docker containerization and secure scalable FastAPI REST API deployment
- Applied RAG and prompting strategy selection based on task needs and data access requirements
- Strong cross-functional collaboration translating claims managers' domain knowledge into agent workflows and test criteria
- Experience designing reliability-focused AI workflows with robustness testing and measurable business/technical metrics
- Reported ~25% improvement (impact metric referenced) from agentic claims workflow
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