I will be python developer for ai, ml, llm, rag, claude code ai developer
Level 1
About this gig
With 8+ years of experience, I have helped businesses turn scattered data & manual processes into working AI systems, as their Python developer for AI, ML, LLM & RAG projects, using OpenAI & Claude AI.
Most projects that come to me look similar on the surface someone has documents, a database, a workflow that needs intelligence added to it, but isn't sure whether that means a machine learning model, an LLM integration or a RAG system. Figuring that out first, before writing any code, is usually where I add the most value.
WHAT I CAN DO:
- Build machine learning models for prediction, classification, pattern detection
- Set up RAG pipelines so AI can answer questions using your own documents or database instead of generic knowledge
- Integrate OpenAI or Claude AI into your existing app, workflow, internal tool
- Handle API integration between your systems, so data actually moves where it needs to
- Build NLP pipelines text classification, sentiment analysis, entity extraction
- Set up vector databases (Pinecone, ChromaDB, pgvector) for semantic search
MY STACK: Python, OpenAI, Claude AI, LangChain, LangGraph, RAG, NLP, TensorFlow, PyTorch
Send me a message.
Get to know Neha A
AI Mobile app Developer, AI Voice Agent Developer, Automation No code Mobile app
Level 1
- FromIndia
- Member sinceAug 2025
- Avg. response time1 hour
- Last delivery3 weeks
Languages
English
My Portfolio
FAQ
What kind of AI and Python development work do you specialize in?
I focus mainly on AI and Python development, building ML models, NLP pipelines, LLM integrations, and RAG systems for real business problems, not just generic coding tasks.
What's the difference between an LLM integration and a RAG system?
An LLM integration connects OpenAI or Claude AI into your app for general responses. A RAG system goes further, pulling answers from your own documents or database first, so the AI responds using your real data.
Can you build machine learning models, not just use AI APIs?
Yes. I build custom ML models for prediction, classification, and pattern detection using Python, and I also integrate OpenAI or Claude AI when an LLM is genuinely the better fit for the problem.
Do you work with NLP tasks like sentiment analysis?
Yes, I build NLP pipelines including text classification, sentiment analysis, and entity extraction using Python, tailored to your specific data, whether that's reviews, support tickets, or documents.
Do you integrate Claude AI specifically, or only OpenAI?
I work with both Claude AI and OpenAI, and recommend whichever fits your use case and budget. Many clients choose Claude AI specifically for its reasoning and document-handling strengths in RAG systems.
Can you set up a RAG system using our own company documents?
Yes, that's one of my core services. I set up RAG pipelines with vector databases so your team can ask questions and get answers pulled directly from your own documents, not generic AI knowledge.
Do you handle API integration between different tools?
Yes, as a Python developer, I connect APIs so your systems, databases, and AI tools actually talk to each other, whether that's linking Claude AI to your CRM or syncing data between platforms.
What machine learning or AI frameworks do you use?
I use Python with LangChain, LangGraph, Hugging Face, TensorFlow, and PyTorch, depending on whether the project needs classical ML, deep learning, or an LLM-based approach like OpenAI or Claude AI.
Will I get clean, documented code I can maintain myself?
Yes, every project I deliver as your Python developer includes clean, documented code, so your team can understand, maintain, and extend the ML, NLP, or RAG system after I hand it over.
I'm not sure if I need ML, NLP, LLM, or RAG. Can you help me decide?
Yes, that's usually the first thing I help with. Send me your data or problem, and as your AI developer, I'll tell you honestly whether it needs an ML model, NLP pipeline, LLM integration, or RAG system.
