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I will build a healthcare rag chatbot using llms, langchain and python
Prakash R
About this gig
I'm a pharmacist (M.Pharm) with an Executive PG in Data Science & AI from IIIT-Bangalore. I build LLM chatbots for healthcare, pharma and education that answer from YOUR documents (PDFs, guidelines, SOPs) instead of guessing.
What I build:
- RAG pipelines (embeddings, vector store, retrieval)
- Tool-calling chatbots and LangGraph multi-agent workflows
- Streamlit / Gradio interfaces and FastAPI backends
- Deployment on Google Cloud Run
My own projects (on GitHub):
- AMRShield: multi-agent antibiotic stewardship assistant (Gemini, WHO AWaRe / ICMR guidelines, Cloud Run)
- GenoFingerprint: 4-agent pharmacogenomics decision-support tool with Tamil/English explanations
You get working code, a demo, and a short guide to run it.
Note: these tools support information and decisions; they do not replace clinical judgment. Please share only de-identified data.
Please message me before ordering so we can confirm the scope.
Get to know Prakash R
Prakash R
GenAI Engineer Healthcare
- FromIndia
- Member sinceOct 2026
Languages
Tamil, English
I am a Pharmacist and GenAI Engineer building healthcare applications using multi-agent LLM systems and RAG pipelines. I leverage my clinical domain knowledge in pharmacogenomics and clinical research to design and deploy AI tools on Google Cloud. I have published 9 peer-reviewed papers and specialize in deep learning and medical AI.
FAQ
What do I need to send you?
Your documents (PDF, Word or text), what the bot should and should not answer, who will use it, and your LLM API key or preferred model (Gemini, Claude, etc.). I will confirm scope before starting.
Can the chatbot give medical advice or diagnose patients?
No. I build tools that retrieve and explain information from your sources, with citations. They support education and decisions but do not replace a doctor or pharmacist. I add clear disclaimers in the app.
Will I get the source code, and where will it run?
Yes, you get the full Python source code and a setup guide. Basic and Standard run locally or on Streamlit; Premium is deployed on Google Cloud Run (cloud costs are paid by you).
