Generative AI & LLM Apps
Automate workflows and scale customer support with context-aware RAG pipelines and highly concurrent multi-agent LLM systems.
I bridge the gap between academic AI research and production-grade software. I specialize in architecting scalable solutions—from deploying low-latency vehicle detection pipelines on live RTSP streams to engineering high-concurrency, multi-agent LLM systems.
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.
Automate workflows and scale customer support with context-aware RAG pipelines and highly concurrent multi-agent LLM systems.
Reduce manual monitoring and improve safety with robust object detection and video analytics pipelines for live RTSP streams.
Drive actionable insights by engineering end-to-end predictive models, data prep workflows, and high-performance inference services.
Ensure system reliability by packaging models with FastAPI and Docker to ship maintainable, highly available AI architectures.
A timeline of my professional work experience.
Architected a high-concurrency, multi-agent chatbot using local LLMs on GPU servers, reducing average response latency and supporting highly concurrent sessions. Deployed a real-time object detection pipeline maintaining peak FPS on live RTSP streams.
Developed autonomous reasoning agents with memory-aware conversation flows and retrieval-augmented generation to ensure factually grounded answers and drastically reduce hallucinations.
A dedicated timeline of my education and formal training.
I am currently in my 2nd semester of the MPhil in Artificial Intelligence program at PUCIT. Building on my Computer Science background, my academic and research focus spans Machine Learning, Computer Vision, Deep Learning, Neural Networks, Pattern Recognition, and Generative Models. I am actively exploring advanced research and practical applications in these domains to contribute to solving complex, real-world challenges through AI-driven innovation.
I have completed my degree in Computer Science at the University of Engineering & Technology in May 2025, with a focus on Data Science, Machine Learning, and Artificial Intelligence. My coursework included advanced statistics, data mining, and algorithm development. Graduating with a CGPA of 3.85, I am dedicated to applying my knowledge and skills to build a successful career in technology. I am passionate about leveraging theoretical foundations to solve real-world challenges through projects and collaborative initiatives.
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.
Coursera (offered by Stanford University)
Amazon Web Services (AWS)
LangChain Academy
Dice Analytics
Udemy
Udemy
Interested in AI engineering solutions or collaboration? I am ready to help solve complex challenges.
contact@umarfayyaz.me
+92 346 458 3675
Lahore, Pakistan
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© 2026 Muhammad Umar Fayyaz. All rights reserved.