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I will build an ai chatbot with langchain
AI Chatbots and NLP Solutions for Your Business with RAG
I’m Noman Ashraf, a Machine Learning Engineer with a Master’s in Data Science, specializing in NLP, LangChain, and RAG systems. I build smart AI solutions to automate tasks and boost performance, incl...
About this Gig
Im Noman Ashraf, a Machine Learning Engineer with a Masters in Data Science, specializing in Natural Language Processing (NLP), LangChain, and RAG based AI systems. I create intelligent chatbots, document QA tools, and custom NLP pipelines using advanced LLMs. Whether you need text classification, sentiment analysis, or a retrieval-augmented assistant, I deliver optimized, explainable, and high performing AI solutions tailored to your goals.
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FAQ
What kind of projects do you specialize in?
I specialize in various areas of machine learning, including Natural Language Processing (NLP), predictive modeling, and deep learning. My expertise encompasses developing recommendation systems, sentiment analysis tools, object detection applications, and more.
How do you ensure the quality and effectiveness of your machine learning models?
I prioritize quality by employing best practices in model development, including thorough data preprocessing, feature engineering, and hyperparameter tuning. I also conduct extensive validation using techniques like cross-validation to ensure the model performs well on unseen data.
Can you build a custom AI chatbot for my business?
Absolutely! I can design and implement custom LangChain-based RAG chatbots that can retrieve, reason, and respond intelligently using your company data or documents.
What technologies do you use?
I primarily work with Python, LangChain, Hugging Face Transformers, OpenAI APIs, FAISS/Chroma for vector search, and LLMs like GPT, Mistral, and LLaMA.
I’m new to AI — can you guide me through the process?
Of course! I’ll help you understand the workflow, from concept to deployment, so you can make informed decisions and get the most value from your AI project.
