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Ashok Sai Doredla
Mid-level AI/ML Engineer specializing in Generative AI and production ML systems
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At CVS Health, the candidate productionized a RAG-based LLM solution in a regulated healthcare setting, emphasizing reliable data pipelines, LoRA fine-tuning, monitoring, safety guardrails, and A/B testing. They have hands-on experience troubleshooting real-time RAG failures (e.g., chunking/embedding issues) and regularly lead developer-focused demos/workshops while translating technical architecture into business value for stakeholders.
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Key Strengths
- Took a RAG-based LLM from proof-of-concept to enterprise production on AWS
- Built reliability and safety guardrails for LLMs in a regulated healthcare environment
- Diagnoses LLM/RAG issues quickly using logs, latency metrics, and trace analysis
- Improved real-world accuracy via preprocessing, prompt refinement, and LoRA fine-tuning
- Uses A/B testing and validation checks to de-risk deployments before full scale rollout
- Rapid incident response: fixed irrelevant RAG outputs by correcting chunking/embedding inconsistencies within hours
- Effective technical communication through demos/workshops with diagrams and live code walkthroughs
- Partners with business/customer-facing teams to address scalability and compliance concerns and drive adoption
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