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VENU ANUPATI
Mid-level AI/ML Engineer specializing in Generative AI and LLM systems
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Senior AI/ML engineer with hands-on experience building production LLM systems in healthcare, including RAG-based clinical question answering and end-to-end MLOps on Vertex AI and Kubernetes. They combine strong platform engineering with applied GenAI work, citing a 35% improvement in factual accuracy and a 30% boost in internal team productivity through modular Python services and CI/CD.
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Key Strengths
- End-to-end ownership of production LLM/ML systems
- Healthcare AI and clinical QA domain expertise
- Built scalable LLM platforms on Kubernetes
- Strong MLOps and CI/CD implementation
- RAG architecture for domain-specific knowledge retrieval
- Balanced latency, cost, quality, and safety in production
- Applied LoRA fine-tuning to reduce compute cost
- Python microservices design for reusable ML services
- Improved factual accuracy in clinical QA by 35%
- Increased internal team productivity by 30%
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