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I will build generative ai and llm applications using langchain
Muhammad Fajar
About this gig
Are you looking for a custom Generative AI or LLM application? You are in the right place!
I will build a practical Generative AI and LLM application using Python and LangChain, tailored to your project requirements.
My services include:
Generative AI & LLM Applications
LangChain Workflows
Retrieval-Augmented Generation (RAG)
Prompt Engineering
Prompt Templates & ChatPromptTemplate
Structured & JSON Outputs
Output Parsing
Document Processing & Retrieval
AI Workflow Development
Hugging Face Integration
LLM Application Prototyping
Clean and Structured Python Code
Whether you need a RAG system, document-based AI application, intelligent workflow, or custom LLM solution, I can help turn your idea into a functional AI application.
Why choose my service?
Custom solution based on your requirements
Clean and organized Python code
Practical and structured AI workflows
Focus on reliable outputs
Professional communication
Timely delivery and support
Please contact me before placing an order for complex projects, custom integrations, or requirements involving multiple components.
Let's build a practical Generative AI solution for your project.
Get to know Muhammad Fajar
Muhammad Fajar
AI ML Engineer specializing in Generative AI LLMs and AI Deployment
- FromPakistan
- Member sinceAug 2026
- Avg. response time1 hour
Languages
Urdu, Punjabi, English
AI & Machine Learning Engineer with hands-on experience in Machine Learning, Deep Learning, Generative AI, and AI-powered applications. I specialize in Python, PyTorch, Scikit-learn, LLMs, LangChain, RAG, Streamlit, Flask, SHAP, Power BI, and Data Analysis. I build predictive models, intelligent chatbots, interactive AI solutions, and data dashboards. I also have experience deploying applications using AWS, Docker, Linux, Gunicorn, and Nginx. I help transform ideas and data into scalable, practical, and user-friendly AI solutions.
My Portfolio
FAQ
1. What do you need to start my project?
Answer: Please provide your project requirements, documents or dataset, desired AI functionality, and any specific LLM or framework preferences. If you have existing code, please share it as well.
2. Can you build a custom RAG system?
Answer: Yes. I can build custom RAG workflows using LangChain for document processing, retrieval, and generating relevant responses from your provided content.
3. Which tools and frameworks do you use?
Answer: I primarily work with Python, LangChain, Hugging Face, and LLM APIs, along with prompt templates, structured outputs, and output parsing.
4. Can you create structured or JSON outputs?
Answer: Yes. I can implement structured outputs and JSON parsing to help LLM applications produce consistent and usable responses.
5. Will I receive the source code?
Answer: Yes. Source code is included according to the selected package. I provide clean and structured Python code for the implemented solution.
