Generative AI & LLM Apps
Build chatbots, copilots, RAG pipelines, and multi-agent systems with LangChain, LangGraph, and production APIs.
I am an AI Engineer with experience in machine learning, deep learning, and computer vision. My expertise spans building scalable solutions, from real-time vehicle detection to high-concurrency multi-agent chatbots utilizing local LLMs and LangChain implementations.
Building autonomous reasoning agents, RAG pipelines, and stateful conversational systems for high-concurrency.
Deploying real-time object detection models (YOLO/OpenCV) for live video streams and RTSP processing.
Ensuring factually grounded responses, evaluating models, and orchestrating deployments using FastAPI and Docker.
Leveraging predictive modeling, XGBoost, and data balancing techniques like SMOTE for actionable insights.
Practical AI engineering services designed for startups, businesses, and teams that need production-ready systems, not demos.
Build chatbots, copilots, RAG pipelines, and multi-agent systems with LangChain, LangGraph, and production APIs.
Create object detection and video analytics workflows for RTSP streams, inspection, monitoring, and automation.
Develop predictive models, data prep workflows, evaluation loops, and deployable inference services.
Package models with FastAPI and Docker, then ship maintainable AI systems that can run reliably in production.
A timeline of my professional work experience.
Deployed real-time multi-vehicle object detection for live RTSP video streams using deep learning. Architected a high-concurrency, multi-agent chatbot using local LLMs on GPU servers.
Built autonomous reasoning agents and stateful conversational agents with persistent memory. Engineered RAG pipelines to ensure factually grounded and accurate AI responses.
A dedicated timeline of my education and formal training.
A selection of impactful AI solutions I have architected and deployed in production environments.
A deep learning model developed to accurately detect and track multiple vehicles on live RTSP video streams using advanced architectures.
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Engineered and deployed a high-concurrency multi-agent chatbot using local LLMs on GPU servers to efficiently handle simultaneous user requests.
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A predictive model assessing heart disease risk utilizing SMOTE data balancing techniques and a real-time interactive console for live predictions.
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Built stateful conversational agents with persistent memory and precise RAG pipelines during an internship at The Hexaa.
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A comprehensive overview of the frameworks, models, and tools I use to build robust AI architectures.
Recognitions and certifications that validate practical AI engineering and deployment skills.
LangChain Academy
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Amazon Web Services (AWS)
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Dice Analytics
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Udemy
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Coursera (offered by Stanford University)
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Udemy
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Interested in AI engineering solutions or collaboration? I am ready to help solve complex challenges.
contact@umarfayyaz.me
+92 346 458 3675
Lahore, Pakistan
I typically respond within a few hours. Let's build the future with AI!
© 2026 Muhammad Umar Fayyaz.