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Nikhil Chagi
Intern Data Analyst specializing in data pipelines and LLM/RAG applications
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About
Built and deployed LLM-powered analytics and reporting systems, including a RAG-based assistant over Snowflake that let business users ask questions in plain English instead of writing SQL. Experienced orchestrating LLM agents (LangChain) and serverless reporting pipelines (AWS Lambda/S3/RDS), with a strong focus on grounded outputs, monitoring/evaluation, and data quality—used daily by non-technical finance and operations teams at Cigna.
Experience
Education
Key Strengths
- Built and deployed a production LLM analytics assistant enabling natural-language data Q&A
- Strong RAG design to ground outputs in verified Snowflake data and reduce hallucinations
- Performance tuning for LLM systems (retrieval optimization and caching to reduce latency)
- Orchestrated multi-step LLM agent workflows using LangChain
- Built serverless data/reporting pipelines with AWS Lambda integrating APIs, S3, and RDS
- Implemented monitoring, evaluation, and data quality checks across pipeline stages to ensure reliability
- Effective collaboration with non-technical finance/operations stakeholders to replace manual reporting with automated workflows
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