Multimodal RAG Systems
Explore advanced techniques for building RAG systems that process both text and images using CLIP, ColPali, and more.
- CLIP + Pinecone Implementation
- ColPali Vision-Based RAG
- Multimodal Embeddings
Your AI & Automation Partner in USA
Experienced Expert Generative AI & NLP Engineer
I'm Muaz Ashraf - your technical partner in overcoming AI and automation challenges for American businesses. With expertise in Generative AI, NLP, and intelligent system design, I provide AI consulting to help US companies unlock their full potential. Let me navigate you through the complexities of AI implementation while we conquer technical barriers and push your American business beyond conventional boundaries.
My expertise and Projects includes Chatbots, RAG, Agentic Chatbots, Multimodal Chatbots, Twilio, Voice agent, Eleven Labs and working extensively with technologies like LlamaIndex, LangChain, Hugging Face and Multi-Agent frameworks like Agno, Crewai. MCP. OpenCV, OCR, Web-Scraping, speech to text, text to speech, Realtime transcription, LLMs, Vector Databases, Graph Databases.
Innovation & Excellence for USA
Committed to delivering state-of-the-art AI solutions that push the boundaries of what's possible for American businesses. Every project is an opportunity to innovate and create meaningful impact across the United States.
AI Consulting & Real-World Applications for USA
Discover how my AI consulting expertise can be applied to solve complex challenges and drive innovation for American companies with LlamaIndex and other cutting-edge tools.
Intelligent Chatbots & Virtual Assistants
Developed advanced conversational AI using RAG, LLMs, LlamaIndex, and LangChain for automated customer support, information retrieval, and personalized user experiences for American businesses.
Automated Data Processing & Insights
Leverage OCR, OpenCV, and web scraping for automated data extraction from documents and websites, transforming raw data into actionable insights for US enterprises.
Custom AI Agents & Workflow Automation with LlamaIndex
Built bespoke AI agents using frameworks like CrewAI and LlamaIndex to automate complex tasks, streamline workflows, and enhance operational efficiency for American companies.
Real-time Speech & Language Solutions
Implemented real-time speech-to-text, text-to-speech, and transcription services for applications in accessibility, content creation, and voice-controlled systems for US businesses.
Multimodal RAG
Implemented Multimodal RAG Using Pinecone and Clip Model for embed Image and Text and chat with them showing relevent text and Image
Custom MCP Server
Implemented Custom MCP Server Using Python and Flask for GitHub Actions, PRD Generation, and Fireflies Transcription
Latest AI Insights for USA Market
Deep dive into cutting-edge AI technologies and implementations for American businesses
Advanced RAG Techniques
Master cutting-edge RAG optimization strategies including ranking, weighting, and self-correction mechanisms.
- Rank-Based Fusion RAG
- Weight-Based Hybrid Search
- Self-Correcting RAG Systems
Client Testimonials
"Muaz was very persistent in delivering the project. It was difficult to get the end terminal to run the same as the test environment. Muaz kept working hard to complete the project - a job that three other separate programmers failed before him!"
- Amctalerts, AUS
"Muaz developed our custom Pharmacy POS system from scratch, streamlining billing, inventory, and prescription management. His solution reduced manual errors by 60% and cut patient wait times in half. The integrated ERR system automated compliance with DRAP regulations, saving us 20+ hours/month on paperwork. He delivered a system that now processes 500+ daily transactions flawlessly"
- Dr Hafiz Muhammad Aman, PK
"Muaz delivered a real-time transcription system that just works. It's fast, accurate, and handles accents effortlessly—exactly what we needed. Our team's productivity jumped overnight, and the seamless integration made adoption a breeze. Highly recommended!"
- Shawn, UK
Exploring the Power of AI Together
