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PHANINDRA KETHAMUKKALA
Senior GenAI/ML Engineer specializing in LLMs, RAG, and multimodal generative AI
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LLM/RAG engineer with production deployments in highly regulated domains (Frost Bank and GE Healthcare). Built secure, explainable document-grounded Q&A systems using LoRA fine-tuning, strict RAG with confidence thresholds, and citation-based responses; also established evaluation/monitoring (golden QA sets, hallucination tracking, drift) and achieved ~40% latency reduction through retrieval/prompt tuning.
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Key Strengths
- Built and deployed production RAG system for internal document Q&A in banking with low hallucination tolerance
- Applied LoRA fine-tuning and domain-constrained prompting to handle domain-specific financial language
- Implemented strict grounding with confidence thresholds and citation-only answering to reduce hallucinations
- 4 years hands-on orchestration experience (LangChain + Python) integrating RAG workflows with FastAPI and cloud LLM endpoints
- Reliability-focused evaluation approach: unit tests, offline evals, drift/hallucination/task-success monitoring in production
- Iterative retrieval/prompt tuning using golden QA datasets; improved latency by ~40% while maintaining citation-backed accuracy
- Effective cross-functional collaboration with clinicians/radiology to align outputs with clinical terminology and safety guardrails
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