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Krithika GandlurMurali
Mid-Level Forward Deployed AI Engineer specializing in RAG systems and backend microservices
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About
LLM solutions practitioner with SOC/alert-triage experience who takes LLM prototypes to production using RAG (Pinecone), FastAPI services, guardrails, CI/CD, monitoring, and robust fallback logic. Known for rapid real-time debugging of embedding/vector and agent workflow issues, and for driving adoption through code-first workshops and sales-aligned custom demos with measurable improvements (35% faster triage; 40% increase in correct tool usage).
Experience
Education
Key Strengths
- Productionized LLM prototype into a monitored FastAPI service with guardrails, CI/CD, containerization, and fallback logic
- SOC/alert-triage domain understanding; translated analyst decision logic into measurable requirements and labeled datasets
- Improved customer outcomes with measurable impact (35% faster triage; higher categorization accuracy)
- Real-time troubleshooting of LLM/agent workflows using logs, embedding drift checks, and step-by-step trace replay
- Effective developer enablement via code-first demos, minimal working examples, and hands-on workshops (40% increase in correct independent tool usage)
- Strong sales partnership through rapid custom demos on prospect data and live handling of technical objections
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