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I will build custom ai agents with python, llms, rag, and apis
Humera
About this gig
I build custom-coded AI agents and LLM applications in Python for startups, SaaS products, research, and prototypes.
My services include:
- Custom AI agents and assistants
- RAG systems and document chatbots
- LLM-powered applications
- API, database, and tool integrations
- LangChain, LangGraph, and LlamaIndex solutions
- MCP integration when suitable
- Streamlit or Gradio interfaces
I can work with OpenAI, Claude, Gemini, Llama, vector databases, FastAPI, and other suitable technologies.
You will receive tested source code, setup instructions, and documentation according to your package.
Hosting, API usage, and third-party charges are not included.
Please contact me before ordering to confirm your requirements, scope, and delivery time.
Get to know Humera
Humera
- FromPakistan
- Member sinceJun 2025
- Avg. response time1 hour
- Last delivery1 month
Languages
Urdu, English
AI Developer with 4+ years of experience creating smart solutions using AI agents, machine learning, deep learning, robotics, and data analytics to solve real-world business challenges. I help businesses automate workflows, analyze data, and deploy intelligent systems that solve real-world problems. Clean code, on-time delivery, and tailored solutions are guaranteed. Let’s turn your idea into a scalable, AI-powered reality—message me to get started!
FAQ
1. Should I contact you before placing an order?
Yes. Please contact me first so I can review your requirements, APIs, data sources, package scope, and delivery time.
2. What type of AI agents can you build?
I can build custom assistants, research agents, document agents, tool-using agents, API-connected agents, and workflow-based AI solutions.
3. What is a RAG system?
RAG enables an AI application to retrieve relevant information from your documents or data before generating an answer.
4. Which AI models and frameworks do you support?
I can work with OpenAI, Claude, Gemini, Llama, LangChain, LangGraph, LlamaIndex, FastAPI, and suitable vector databases.
5. Can you integrate my APIs or existing software?
Yes, provided the platform offers a documented API or another authorized integration method. Please share the API documentation before ordering.
6. Can you develop an MCP integration?
Yes. I can add an MCP server or client integration when it is technically appropriate for your AI agent or application.
7. Will I receive the source code?
Yes. Source code and package-level setup documentation are included in every package.
8. Do you provide deployment?
Deployment assistance is included in selected packages or available as an extra. Hosting, domain, API usage, and third-party charges are not included.
9. How will you handle my data and API credentials?
I use only the access required for the agreed project. Credentials should be shared securely and should never be placed directly inside public source code.
10. What is included in a revision?
A revision covers changes to the agreed functionality. New features, additional integrations, or major scope changes require an extra or custom offer.
