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rahimdesigner2

Rahim Azhar

@rahimdesigner2

AI Chatbot Developer Python, RAG and Customer Support Automation

Pakistan
English, Hindi, Urdu
About me
I'm an AI Chatbot Developer specializing in Python, RAG and AI-powered business solutions. I build intelligent chatbots for customer support, e-commerce and custom knowledge bases. My services include: • AI customer support chatbots • RAG chatbots for PDFs and documents • E-commerce product recommendation bots • Semantic search and knowledge-base integration • Google Gemini API integration • Python and Streamlit applications My goal is to deliver reliable, user-friendly AI solutions tailored to your business needs. Let's build your AI chatbot!... Read more

Skills

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rahimdesigner2
Rahim Azhar
Offline • 
Average response time: 1 hour

See my services

AI Chatbot Development
I will build an ai chatbot with python and rag
From$30 / projectMore details

Portfolio

Work experience

Procon_Engineering

AI / Computer Vision Developer

Procon Engineering • Full-time

Mar 2025 - Present • 1 yr 8 mos

Developing AI-powered solutions using Python and deep learning technologies for real-world industrial applications. Working with computer vision models, image classification, real-time video streams, and AI model deployment. Also experienced in developing an AI-powered e-commerce customer support chatbot using Python, Google Gemini API, Streamlit, semantic search, and Retrieval-Augmented Generation (RAG) to assist users with product discovery and store-related queries.

Freelance

AI Chatbot Developer

Freelance • Self-employed

Sep 2024 - Feb 2025 • 5 mos

Developed an AI-powered e-commerce customer support chatbot using Python, Streamlit, and Google Gemini API. Implemented semantic search and Retrieval-Augmented Generation (RAG) to retrieve relevant information from a custom knowledge base and provide helpful responses to customer queries. Built an interactive chatbot for product discovery and recommendations. Implemented knowledge-base retrieval for shipping, returns, refunds, and FAQs. Integrated Google Gemini API for AI-generated responses. Used Sentence Transformers and semantic search for relevant document retrieval. Deployed the application on Streamlit Community Cloud and maintained the codebase on GitHub.