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Sai somapalli
Senior LLM Engineer specializing in Generative AI, RAG, and multimodal assistants
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About
GenAI/NLP engineer with experience building classification and summarization pipelines in PyTorch and deploying multimodal GPT-4-style workflows. Has integrated LLM applications across OpenAI, Azure OpenAI, and Amazon Bedrock, and uses LangChain/LlamaIndex/Semantic Kernel to orchestrate RAG and agent workflows with production-focused evaluation metrics like task success rate and groundedness.
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Key Strengths
- Built and integrated NLP pipelines (classification/summarization) using PyTorch
- Experience deploying multimodal LLM workflows (e.g., image-based classification like dog vs cat)
- Hands-on integration across major GenAI platforms (OpenAI, Azure OpenAI, Amazon Bedrock)
- Orchestrating multi-step LLM/RAG workflows with LangChain, LlamaIndex, and Semantic Kernel
- Production-oriented evaluation mindset using TSR/task success rate, groundedness, and answer correctness
- Troubleshooting production deployment issues (data modification/ingestion problems)
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