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Akshaya Mudigiri

Akshaya Mudigiri

Retrieval-Augmented Generation (RAG) Engineer

Remote (global)

LinkedIn profile
Projects

MedAsiist RAG

Achieved ~55 ms semantic retrieval latency and ~2.93 s end-to-end RAG response time by retrieving only Top-K relevant chunks instead of sending entire PDFs to the LLM. Added persistent FAISS indexing and page-level source attribution for efficient and traceable responses.

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pythonFastapiGoogle Gemini 2.5 F…Sentence Transforme…FAISSPymupdfStreamlitpytestDockerUvicorn
Stack & AI tools
PythonllmlangchainLanggraphSQLFAstapiAWSAzureRAGSTTTTSEmbeddingsComputer VisionPytorchPineconeHuhggingfaceVector Databases
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