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Sudheer Kumar Divvela
Mid-level GenAI Engineer specializing in RAG, LLM agents, and enterprise automation
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About
Accenture engineer who built and shipped a production RAG-based automation/chatbot for SAP incident triage and troubleshooting, embedding thousands of runbooks/logs/tickets into a semantic search pipeline and integrating it into Teams/Slack. Reported major productivity gains (30–60% time reduction), >90% validated answer accuracy, and sub-2-second responses, with strong orchestration (Airflow/Prefect/LangGraph) and reliability practices (guardrails, testing, monitoring).
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Key Strengths
- Built and deployed production RAG automation platform for SAP support at Accenture
- Reduced repeated-task effort/time for engineers (~30% reported; also cited ~60% drop in SAP troubleshooting/triage time)
- Achieved >90% response accuracy via validation against internal runbooks
- Optimized system performance to <2s average response time (latency/caching/embedding optimization)
- Strong workflow orchestration experience (Airflow/Prefect/LangGraph) for end-to-end ML/data pipelines
- Production-grade agent design with guardrails, termination conditions, and fallback paths to reduce hallucinations/looping
- Robust testing approach including unit/integration/scenario and adversarial testing for LLM workflows
- Effective collaboration with non-technical stakeholders through demos/feedback loops driving fast adoption
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