Muhammad B, B is an AI Engineer specializing in building scalable, production-grade AI agent systems and LLM-powered applications. He has strong expertise in orchestrating agentic workflows using frameworks like LangChain, LangGraph, and the A2A protocol, alongside implementing robust LLMOps and MLOps practices with tools such as Arize Phoenix and LangFuse. He is highly experienced in developing Retrieval-Augmented Generation (RAG) pipelines, real-time AI systems including ASR with speaker diarization, and…
Great score on Find the Length of the Longest Substring Without Repeating Characters, Difficulty Easy · Great score on LLM Integration Producing Inconsistent Outputs, Difficulty Medium · Great score on Evaluate and Improve RAG Chatbot Response Quality, Difficulty Medium
Developed an end-to-end system for document compliance and comparison. Integrated AI agents for compliance verifications and comparison, with additional support for user queries related to the documents on a chat-bot interface. Deployed the solution on an Azure server.
Developed a real-time ASR pipeline with speaker diarization. Extracted meeting minutes, discussion topics, and action items to generate a meeting summary with the help of an AI agent. Implemented gRPC, WebRTC for communication, and a microservices architecture for scalability.
Built a face-detection and recognition system for deployment on an edge device. Used FastAPI backend for realtime data to the database, image signal processing with Gstreamer.
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Muhammad B, B is an AI Engineer specializing in building scalable, production-grade AI agent systems and LLM-powered applications. He has strong expertise in orchestrating agentic workflows using frameworks like LangChain, LangGraph, and the A2A protocol, alongside implementing robust LLMOps and MLOps practices with tools such as Arize Phoenix and LangFuse. He is highly experienced in developing Retrieval-Augmented Generation (RAG) pipelines, real-time AI systems including ASR with speaker diarization, and…
Great score on Find the Length of the Longest Substring Without Repeating Characters, Difficulty Easy · Great score on LLM Integration Producing Inconsistent Outputs, Difficulty Medium · Great score on Evaluate and Improve RAG Chatbot Response Quality, Difficulty Medium
Developed an end-to-end system for document compliance and comparison. Integrated AI agents for compliance verifications and comparison, with additional support for user queries related to the documents on a chat-bot interface. Deployed the solution on an Azure server.
Developed a real-time ASR pipeline with speaker diarization. Extracted meeting minutes, discussion topics, and action items to generate a meeting summary with the help of an AI agent. Implemented gRPC, WebRTC for communication, and a microservices architecture for scalability.
Built a face-detection and recognition system for deployment on an edge device. Used FastAPI backend for realtime data to the database, image signal processing with Gstreamer.
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