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rahimdesigner2

Rahim Azhar

@rahimdesigner2

AI Chatbot Developer Python, RAG and Customer Support Automation

Pakistán
Inglés, Hindi, Urdu
Parte de la información aparece en idioma inglés.
Sobre mí
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!... Lee más

Habilidades

r
rahimdesigner2
Rahim Azhar
desconectado • 
Tiempo medio de respuesta: 1 hora

Revisa mis servicios

Desarrollo de chatbots de IA
I will build an ai chatbot with python and rag
DeUSD 30 / proyectoMás información

Porfolio

Experiencia laboral

Procon_Engineering

AI / Computer Vision Developer

Procon Engineering • Tiempo completo

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 • Trabajador autónomo

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.