Sai Charan C

About

Built and deployed a production RAG-based enterprise document intelligence platform for financial/compliance/operational documents on AWS (Spark/Glue ingestion, embeddings + vector DB, LangChain orchestration, REST APIs on Docker/Kubernetes). Deep hands-on experience orchestrating multi-step and multi-agent LLM workflows (LangChain, LangGraph, CrewAI) with strong focus on grounding, evaluation, observability, and cost/latency optimization, and has partnered closely with non-technical finance/compliance teams to drive adoption.

Experience

Education

Key Strengths

• Built and deployed a production RAG enterprise document intelligence platform end-to-end on AWS
• Strong LLM orchestration in production (LangChain, LangGraph, CrewAI) including multi-agent workflows
• Practical mitigation of hallucinations via strict grounding, prompt constraints, and evaluation checks
• Performance and cost optimization using caching and model routing
• Reliability engineering for AI workflows (guardrails, retries, fallbacks, monitoring, drift tracking)
• Metrics-driven model/retrieval/prompt selection with offline benchmarks and production A/B testing
• Effective collaboration with finance and compliance stakeholders; translates business needs into measurable AI goals (accuracy, traceability, turnaround time)