Akshaya Mudigiri
Retrieval-Augmented Generation (RAG) Engineer
Open to Work
- Target role
- Retrieval-Augmented Generation (RAG) Engineer
- Availability
- Actively looking
- Experience
- Beginner
- Working preference
- Remote (global)
PythonllmlangchainLanggraphSQLFAstapiAWSAzureRAGSTTTTSEmbeddingsComputer VisionPytorchPineconeHuhggingfaceVector Databases
MedAsiist RAG
Viewpython, Fastapi, Google Gemini 2.5 Flash, Sentence Transformers, FAISS, Pymupdf, Streamlit, pytest, Docker, Uvicorn
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