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Manichandra Reddy Bethi
Mid-level GenAI Engineer specializing in production AI agents and evaluation pipelines
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Built and shipped a production LLM-powered internal operations automation platform using LangChain RAG (Pinecone) and FastAPI microservices, deployed on AWS EKS, serving 10k+ daily interactions. Implemented a rigorous evaluation/observability stack (golden datasets, prompt regression tests, MLflow, retrieval metrics, hallucination monitoring) that drove hallucinations below 2% and improved reliability, and partnered closely with non-technical ops leaders to cut manual lookup work by 60%+.
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Key Strengths
- Built and deployed production LLM agent platform (RAG + tool-calling) handling 10,000+ daily internal interactions
- Reduced hallucination rate to under 2% via evaluation gates, prompt regression tests, and telemetry-driven monitoring
- Strong retrieval quality measurement and optimization using recall@k, hit@k, and MRR
- Production-grade MLOps/infra: Docker + Kubernetes on AWS EKS with CI/CD and MLflow tracking
- Designs reliable agent workflows with explicit failure modes, confidence gating, and human escalation paths
- Cross-functional delivery with non-technical ops stakeholders; reduced manual lookup effort by 60%+ through iterative demos/feedback
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