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Sai Charan C
Mid-level Generative AI Engineer specializing in LLMs, RAG, and multimodal AI on AWS
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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.
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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)
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